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[null,null,"Planning a Research Study, Tips with Excel, and Select Statistical Tests*"]
[null,"borzia","This workbook assumes prior experience with Excel.  ",null,null,null,null,null,null," "]
[null,null,"Data - Planning, Editing, and Formatting, with Excel",null,null,null,"Data - Plotting and Analysis with Excel"]
[null,null,"By Kathleen Kromer Baker, PhD, MS, Research Statistician Office of Health Status Monitoring, Hawaii Department of Health\nContact Phone: 586 4732 Contact Email: kathlee.baker@doh.hawaii.gov"]
[null,null,"Introduction, Excel Tips, Planning the Study, Datafile for Analysis",null,null,null,"Excel Statistical Add-Ins, Plotting, Statistical Analysis of Data"]
[null,null,"Worksheets","Topic","Hyperlink",null,"Worksheets","Topic","Hyperlink"]
[null,null,"Getting Started",null,null,null,"Excel Add-Ins, Plotting and Statistics, Descriptive Statistics"]
[null,null,1,"Introduction to Workbook","Introduction",null,26,"Descriptive Statistics","Descriptive Statistics"]
[null,null,3,"Excel Tips and Shortcuts","Excel Tips",null,27,"Input Excel Add-In for Statistical Analysis","Analysis ToolPak, PC"]
[null,null,4,null,"Group Row or Columns",null,28,null,"Analysis ToolPak MAC"]
[null,null,5,null,"Excel Shortcuts",null,29,"Charts and Tables ","Describe and Plot"]
[null,null,6,"Excel Formulas/ Functions","Excel Formulas",null,30,null,"Pivot Table and Chart"]
[null,null,7,null,"Select Excel Functions",null,31,"Statistical Test, Count Data","Odds, Rel. Risk"]
[null,null,8,null,"Random Duplicates",null,32,"Distributions","Distributions"]
[null,null,9,null,"Random No Duplicates",null,33,"Continuous Variables","Normal Curve"]
[null,null,10,null,"Other Random Formulas",null,34,"Copy of FINAL DATA FILE RENAMED",1]
[null,null,"Planning Study",null,null,null,35,"Charts and Tables ","Histogram"]
[null,null,11,"Planning","Research Questions",null,36,null,"One Series Formulas"]
[null,null,12,null,{"$f":"Hypothesis!C3","v":"Hypothesis"},null,37,null,"Correlation"]
[null,null,13,null,"Statistical Tests",null,"Plotting and Statistics, Inferential Statistics"]
[null,null,14,"Variables","Variable Type",null,39,"Inferential Statistics","Inferential Statistics"]
[null,null,15,null,"Variable Codebook",null,40,"Tests of Study Variables","Chi-Square 2x1"]
[null,null,16,"HIPAA","Copies and HIPAA",null,41,null,"Chi-Square 2X2"]
[null,null,"Datafile",null,null,null,38,null,"Two Series Formulas"]
[null,null,17,"Datafile","Database Structure Flatfile",null,42,null,"Means ToolPak Results"]
[null,null,18,null,"Steps Editing Flatfile",null,43,null,"ANOVA ToolPak Results"]
[null,null,19,null,"Excel File to Edit",null,44,null,"Regression Plot"]
[null,null,20,null,"Edited File",null,45,null,"Regression Results"]
[null,null,21,"Adding Data","Ethnicity File",null,"Select Definitions and Other Resources for Excel"]
[null,null,22,null,"Steps Combining Worksheets",null,46,"Select Definitions","Definitions"]
[null,null,23,null,"Combined Example 1",null,47,"Online Resources","Resources"]
[null,null,24,null,"Combined Example 2"]
[null,null,25,"Final Data File","FINAL DATA FILE"]
[null,null,"*Many worksheets and formulas will not work in earlier versions (2007 and earlier) of Excel"]
[null,null,"*Select worksheets do not allow changes, Sheets can be copied to use formulas and contents, Be sure and check the cell references after copying"]

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[]
[null,null,null,"Excel - Introduction to this Workbook",null,null,"TOC"]
[null,null,null,null,"This workbook is primarily geared toward PC users.  Much of the information can be transferred to a MAC.  If the tip or formula does not work please consult the Internet for alternate suggestions for MAC users.  "]
[null,null,null,null,"To understand the workbook it is best to read the worksheets in order.  The first section covers tips, the second formulas and functions, the third planning your study, the fourth editing your datafile, the fifth plotting and analyzing your data."]
[]
[null,null,null,null,"Have fun!  Excel can be learned by pressing keys and clicking on options.  You can learn by seeing what the options do.  If all else fails use the Excel Help File or go on the Internet!"]
[null,null,"Getting to Know Excel",null,"The Worksheets on Shortcuts and  Excel Tips to using Excel are presented.  Many make data editing easier.",null,"Excel Tips"]
[null,null,null,null,"This is a handy feature to use when you want to view columns when they are not adjacent.",null,"Group Rows or Columns"]
[null,null,null,null,null,null,"Excel Shortcuts"]
[null,null,null,null,"Excel uses formulas and you start inputting with an = sign in the worksheet cell.  You can input your own formula. The Excel Formulas worksheet gives examples.",null,"Excel Formulas"]
[null,null,null,null,"Or you can start with an = sign and look to the left of the = sign to find a list of possible formulas by hitting the fx icon or further to the left hit the down arrow and choose from a list of formulas (hit more functions at the bottom to see a full list).",null,"Select Excel Functions"]
[null,null,null,null,"Random number generators are handy if you are e.g. assigning treatments to a patient or in everyday life like assigning players to a team.  Examples include 1.  with duplicates 2. without duplicates, and 3. choosing a value at random and assigning a value at random.",null,"Random Duplicates"]
[null,null,null,null,null,null,"Random No Duplicates"]
[null,null,null,null,null,null,"Other Random Formulas"]
[null,null,"Example Study on BMI",null,"This workbook presents key ideas in planning a research project, preparing a clean dataset, plotting data, and analyzing data using fictitious data on adult body mass index (BMI) by urban/rural designation.  This datafile is used throughout the workbook.\n",null,"FINAL"]
[null,null,null,null,"Planning your research study - Usually statistical studies start out as an idea, a question to answer, or a hypothesis.  The Initial Questions worksheet ask questions of you on your own study. ",null,"Research Questions"]
[null,null,null,null,"The next worksheet asks questions to be answered on the BMI study in this workbook.",null,"BMI Study Goals-Hypothesis"]
[null,null,null,null,"This Excel workbook assumes some knowledge of Excel and statistical tests.  Questions asked to determine tests used on the BMI study are in Statistical Tests.",null,"Statistical Tests"]
[null,null,null,null,"In determining which statistical test to use the variable type needs to be identified.  Examples are on the Variable Type worksheet.",null,"Variable Type"]
[null,null,null,null,"To understand and record variables definitions and properties it is best to create a Variable Codebook.  An example is presented for the BMI datafile.",null,"Variable Codebook"]
[null,null,null,null,"Be sure and observe HIPAA privacy rules and safeguard your original datafile.  Only work on a copy of the original datafile.  Keep all copies in a secure work area.",null,"Copies and HIPAA"]
[null,null,"Datafiles",null,"The most common file to work with in Excel is the flatfile.  An example layout is given and information on how to import data into Excel.",null,"Database Structure Flatfile"]
[null,null,null,null,"It is critical in analysis of any datafile to have an error free and clearly understood datafile.  Tips on how to edit a flat datafile are given on Steps Editing Flatfile.",null,"Steps Editing Flatfile"]
[null,null,null,null,"An earlier draft of the BMI Final Datafile is given for you to practice editing datafiles.  It contains errors in formatting and in values.  The cleaned and edited file is also given on the next worksheet Edited File.",null,"Excel_file_to_edit"]
[null,null,null,null,null,null,"EDITED FILE"]
[null,null,"Adding New Variables",null,"What if you wanted to add data on an additional variable?  An example of ethnicity variable's values are given with tips on editing the Ethnicity Data before adding it to the EDITED FILE.  ",null,"Ethnicity Data"]
[null,null,null,null,"Two methods are given in different worksheets using different formulas to combine the files into the FINAL datafile.  There are often several ways of accomplishing the same task in Excel.",null,"Steps Combining Worksheets"]
[null,null,null,null,"Please note that the naming function has been used to 'Name' part of the data worksheet.  This makes it easier to refer to the data on another worksheet instead of using the cell references e.g. C1:C200. ",null,"Combined Example 1"]
[null,null,null,null,"To name a section of a worksheet highlight the cells you want to name and go to FORMULAS and Define Name under Name Manager.  You can input a name and the range of data that it refers to.  Now you can use that name other worksheets to refer to that range of data.",null,"Combined Example 2"]
[null,null,"Final Datafile",null,"NOW WE HAVE OUR FINAL SAMPLE DATAFILE TO USE TO IN OTHER WORKSHEETS IN THIS WORKBOOK.",null,"FINAL"]
[null,null,"Descriptive Statistics",null,"The first few worksheets have information and examples of descriptive statistics, where you are only interested in describing your sample or population (not inferring  from your sample information about a populations).  It is a good idea to plot your variables to view their distribution.",null,"Descriptive Statistics"]
[null,null,"Excel Add-Ins",null,"Excel has add in statistical functions that are very useful.  However, it is good to know how to use the many formulas or functions directly in the cell rather than using the Excel Add-Ins to generate final values.  Before using these add-ins the following worksheets give examples of making charts/ plots and using formulas to generate statistical values.  ",null,"Analysis ToolPak, PC"]
[null,null,null,null,null,null,"Analysis ToolPak MAC"]
[null,null,null,null,"The first examples are useful formulas to use with character type variables.  Brief descriptions of how to generate a graph are given along with statistics."]
[null,null,null,null,"Plotting and analyzing character variables using the FINAL worksheet datafile.",null,"Describe and Plot "]
[null,null,null,null,"Using the Excel Pivot Table and Chart option is another way of providing descriptive statistics and including a plot of data.",null,"Pivot Table and Chart"]
[null,null,null,null,"With counts of character variables, odds ratios and relative risk can be calculated.  First the formulas are given with a space in front of the = sign so you can see the actual formula.  Then the formulas are given with the results showing (no = sign in front of the formula).  The data analyzed is from the datafile FINAL.  Finally there are cells where you can input data and the odds ratio or relative risk are calculated for you.",null,"Odds, Rel. Risk"]
[null,null,"Continuous Variables",null,"Plotting the values of continuous variables such as a frequency distribution gives an idea of the type of distribution and statistics that are appropriate.",null,"Distributions"]
[null,null,null,null,"One type of frequency distribution is the normal curve (bell shaped).  The normal curve is actually an infinite number of curves that are defined by the mean and standard deviation.  One normal distribution is the standard normal distribution that has a mean of 0 and a standard deviation of 1.  ",null,"Normal Curve"]
[null,null,null,null,"The FINAL datafile is used in the examples of the statistical test worksheets.  A copy (copy and paste function) is on the worksheet 1.  In order to plot a histogram using gender the data has to be sorted on gender.   In addition, to use the histogram function groups or bins have to created with a count of variable's values.  These bins were created in the 1 worksheet and graphed on the Histogram worksheet.",null,"1"]
[null,null,null,null,null,null,"Histogram"]
[null,null,null,null,"The One Series Formulas has an example of a histogram and gives the functions/ formulas to generate statistics on one variables’ values.  ",null,"One Series Formulas"]
[null,null,null,null,"In descriptive statistics of continuous variables, you may want to look at the correlation or association of two continuous variables.  ",null,"Correlation"]
[null,null,"Inferential Statistics",null,"Inferential statistics are tests on a sample dataset meant to infer or deduce characteristics of the population from which it was drawn. ",null,"Inferential Statistics"]
[null,null,null,null,"Chi-Square tests used for counts of character variables allow the test for goodness of fit and  the test for independence.  One example has a test of equal numbers of males and females (2x1 - one variable two values).  The second example tests whether there is an equal distribution of married adults in females and males (2x2 - two variables with four values).",null,"Chi-Square 2x1"]
[null,null,null,null,null,null,"Chi-Square 2X2"]
[null,null,null,null,"The Two Series Formulas have all the formulas used in the One Series Formulas Plus tests that compare two variables' means (Students t-test) and variances (F test).",null,"Two Series Formulas"]
[null,null,null,null,"The TookPak add-in with Excel does many statistical tests.  One is the test of equality of means for samples.  This is the Student's t-test.  An F test is done first in order to test for equal variances.",null,"Means ToolPak"]
[null,null,null,null,"The ANOVA took in ToolPak will test the equality of means of more than two variables.  A fictitious dataset is used.",null,"ANOVA ToolPak"]
[null,null,null,null,"Linear regression is a linear relationship assumed between two continuous variables.  It is always important to plot the values first.",null,"Regression Plot"]
[null,null,null,null,"Using Excel's TookPak the linear association between two variables is tested.",null,"Regression Results"]
[null,null,"Definitions",null,"Very brief list of definitions.",null,"Definitions"]
[null,null,"Resources",null,"URL's for further help with Excel and statistics.",null,"Resources"]

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[]
[null,null,"Data - Planning, Editing, and Formatting with Excel - Test the Ribbon and Tabs",null,"TOC"]
[null,null,"Excel Tips"]
[null,null,"Useful Functions "]
[null,null,"Before starting with data know your handy Excel functions:"]
[null,null,1,"Additional Icons or Buttons on your Quick Access Toolbar - You may want to include icons that are not part of the standard, formatting, or drawing icons.  To see the list of options go to the Down Arrow on the Quick Access Toolbar (top row above the FILE "]
[null,null,2,"It would help if you have some experience using Excel.  However, even with minimal experience you can learn Excel by pressing headers, buttons, and icons to see what they do.  I would encourage you to right click each header and check the available options and click on them to see what they can do.  Or you can press F1 for Excel help."]
[null,null,3,"This page 'Excel Tips' is a Worksheet.  The whole file \"Excel File For Database, March 15, 2017 is a Workbook."]
[null,null,4,"This block of text is in a cell.  The reference to this cell is column D, row 9; D9"]
[null,null,5,"fx Formulas - If you do not have the fx tab in view (the formula bar where you can see what you are typing) then go to View and check Formula Bar.  While you are at it check Headings, Ruler, and Gridlines also."]
[null,null,6,"Additional Icons or Buttons on your Quick Access Toolbar - You may want to include icons that are not part of the standard, formatting, or drawing icons.  To see the list of options go to the Down Arrow on the Quick Access Toolbar (top row above the FILE tab) and hit More Commands. "]
[null,null,7,"Paint brush -   In the upper left corner.  You can single left click on the paint brush icon it 'paints' the format of that cell you are on (or range of cells) to the next cell you click on (or range of cells)."]
[null,null,null,"if you double click on the paint brush icon it 'paints' the format on any cell you click until you click the paint brush again."]
[null,null,8,"Freeze panes - this option is very useful if you have a large table and want to see your column and/or row headers as you scroll.  To 'freeze' the location of the outer margins of your worksheet you click on the cell where you would like the margins to stay above and to the left of the cell and go to View and Freeze Panes.  Now when you scroll your column and row headers will stay in view. To undo click on View and Unfreeze Panes."]
[null,null,9,"If you're new to the ribbon, the information in this section can help you understand the ribbon's keyboard shortcut model. The ribbon comes with new shortcuts, called Key Tips. To make the Key Tips appear, press ALT and then the number or letter of what you would like to happen."]
[]
[null,null,10,"Cell reference"]
[null,null,"column C row 18","Please note the cell to the left is cell C18, column C, row 18; if we want to copy the contents of cell C18 we can do that by using a formula and 'referencing' cell C18."]
[null,null,"formula"," =C18"]
[null,null,"see result remove space","Remove the space before the = sign in the cell above and see what happens, then examine the contents of cell D19 (it is a formula pointing to C18)."]
[null,null,"copy","After removing the space in cell D19 copy the cell contents of D19 below and see what happens……"]
[]
[null,null,null,"The result is not the same and that is because the reference changes depending on the where the cell contents are placed (the formula changes)"]
[null,null,null,"if you want to have the cell reference the same regardless of where the formula is placed use a $ in front of the column to 'freeze' the column reference or in front of the row to 'freeze' the row reference or both! Try removing the space in front of the =$C$18 below."]
[]
[null,null,null," =$C$18"]
[null,null,11,"Cell Range Reference"]
[null,null,null,"You can refer to a cell range in formulas."]
[null,null,null,"For example C1:C10 refers to the first ten cells of column C"]
[null,null,null,"You can use this reference to do multiple calculations; for example to sum a column of numbers you need an = sign then SUM and what you want to sum. Notice that the text cell (C18) was 'overlooked'."]
[null,null,null," = SUM(C6:C25)"]
[null,null,null,"Remove the space before the = sign and see the result….."]
[null,null,null,"You can also add $ to 'freeze' the reference to cells.  This will give the same result when you copy and paste the cell to any location.  Remove the space in the formula below and see the result."]
[null,null,null," = SUM($C$6:$C$25)"]
[null,null,12,"Will my old shortcuts still work?"]
[null,null,null,"Keyboard shortcuts that begin with the CTRL tab on your keyboard will still work in Excel 2010 and forward. For example, CTRL+C still copies to the clipboard, and CTRL+V still pastes from the clipboard."]
[null,null,null,"Most of the old ALT+ menu shortcuts still work, too. However, you need to know the full shortcut from memory — there are no screen reminders of what letters to press. For example, try pressing ALT, and then press one of the old menu keys E (Edit), V (View), I (Insert), and so on. A box pops up saying you're using an access key from an earlier version of Microsoft Office. If you know the entire key sequence, go ahead and initiate the command. If you don't know the sequence, press ESC and use Key Tips instead."]
[null,null,13,"Autofill Cells - You can repeat a calculation throughout a range of cells inserting a formula into one cell and dragging that formula into adjacent cells.  "]
[null,null,null,"a.  Type the formula into a cell"]
[null,null,null,"b.  Click on the cell and position the cursor on the lower right corner of the cell (it changes to crosshairs with no arrows on the end) and left click on the crosshairs.  "]
[null,null,null,"c.  Drag the cell into as many cells as you want to 'fill' with the formula"]
[null,null,null,"d.  If you now click on one of the cells (not the initial cell) you will notice the formula has adjusted and is now relative to it's adjacent cells.  "]
[null,null,null,"e.  If you want to drag on cells but not have the formula change you can put a $ sign in front of the column and/or row reference number to 'lock' it on the original formula cell references."]
[null,null,null,"For example:"]
[null,null,null," =C6+C7",{"$f":"C6+C7","v":3}]
[null,null,"dragged formula from cell D45 to D46"," =C7+C8",{"$f":"C7+C8","v":5},"different value"]
[]
[null,null,"formula with $sign in front of the cell row reference"," =C$6+C$7",{"$f":"C$6+C$7","v":3}]
[null,null,"formula dragged from cell D48"," =C$6+C$7",{"$f":"C$6+C$7","v":3},"same value"]
[null,null,null,"f.  Please notice that the formula that is used in E45 appears in D45 with a space in front of the = sign.  To use the formula the space has to be removed."]
[null,null,null,"g.  To reveal formulas that are in use do CTRL and press the ~ button on your keyboard.  To switch back repeat the action."]
[null,null,14,"To print a table or figure go to PAGE LAYOUT and then Print Area highlight the cells that you want to print and hit Print Area.  Then go to VIEW and hit Page Break View and you will see blue lines where the page will break.  You can move those lines by placing the left mouse button on the line and 'sliding' it.  Some of these worksheets are formatted for Print Area and Page Break."]
[]
[null,null,15,"Caveat \"All previous versions of Microsoft Excel until Excel 2007 have been criticized by statisticians for several reasons, including the accuracy of statistical functions, the properties of the random number generator, the quality of statistical add-ins, the weakness of the Solver for nonlinear regression, and the data graphical representation\" .....\"given the recent release of Excel 2010 ...... for the purpose of comparison. The conclusion is that the stream of papers, mainly in Computational Statistics and Data Analysis, has started to pay off: Microsoft has partially improved the statistical aspects of Excel, essentially the statistical functions and the random number generator.\""]
[]
[null,null,null,"Guy Mélard, 2014,  On the accuracy of statistical procedures in Microsoft Excel 2010. Computational Statistics. Volume 29:5, pp 1095-1128."]

{"sheet":"Group Rows or Columns","index":3,"n_rows":101,"n_cols":10,"rows_kept":101,"cut":false,"hidden":false,"merged":[[4,9,13,9]]}
["IDN","GENDER","AGE","POVERTY_VALUE","MARITAL STATUS","URBAN_RURAL","URBAN_RURAL2","BMI","ETHNICITY"]
[1,"Female",34,133,2,0,"Rural",39.1,"Other","TOC"]
[2,"Male",56,486,1,1,"Urban",35,"Japanese"]
[3,"Female",73,75,1,0,"Rural",34.799999999999997,"Other"]
[4,"Male",42,738,1,1,"Urban",34.5,"Native Hawaiian/Part","Tip For Organizing Data - Highlight rows or columns and go to data and choose group or ungroup.  The table is formatted using the Format as Table on the HOME tab."]
[5,"Female",55,192,2,0,"Rural",38,"White"]
[6,"Female",67,399,2,1,"Urban",34.299999999999997,"Other"]
[7,"Male",23,281,2,0,"Rural",40.200000000000003,"White"]
[8,"Male",85,340,1,1,"Urban",38.4,"Japanese"]
[9,"Male",43,174,1,0,"Rural",38.799999999999997,"Other"]
[10,"Female",54,997,2,1,"Urban",35.5,"Native Hawaiian/Part"]
[11,"Female",66,738,2,0,"Rural",38.6,"Japanese"]
[12,"Female",75,133,2,0,"Rural",39.200000000000003,"Native Hawaiian/Part"]
[13,"Male",23,379,1,0,"Rural",36.5,"Japanese"]
[14,"Male",44,738,1,1,"Urban",36.6,"White"]
[15,"Female",73,498,1,0,"Rural",36.799999999999997,"White"]
[16,"Male",87,340,1,1,"Urban",41.1,"Japanese"]
[17,"Male",64,415,2,1,"Urban",34.5,"Filipino"]
[18,"Female",54,202,1,1,"Urban",35.200000000000003,"White"]
[19,"Male",23,459,2,0,"Rural",37.4,"Other"]
[20,"Male",45,310,1,0,"Rural",38,"White"]
[21,"Female",55,486,1,1,"Urban",36.4,"Native Hawaiian/Part"]
[22,"Female",34,192,1,0,"Rural",38.4,"Other"]
[23,"Male",75,82,2,1,"Urban",44.3,"Other"]
[24,"Female",65,340,2,1,"Urban",36,"White"]
[25,"Male",45,74,1,1,"Urban",49.9,"Japanese"]
[26,"Female",44,281,1,0,"Rural",34.200000000000003]
[27,"Female",33,94,2,0,"Rural",41,"Japanese"]
[28,"Female",66,459,2,1,"Urban",34.1,"Native Hawaiian/Part"]
[29,"Female",43,340,2,1,"Urban",38.799999999999997,"Japanese"]
[30,"Female",55,162,1,0,"Rural",36.799999999999997,"Other"]
[31,"Male",43,583,1,0,"Rural",40.700000000000003,"Japanese"]
[32,"Female",56,583,1,0,"Rural",34.200000000000003,"Other"]
[33,"Female",34,399,2,0,"Rural",35.9,"Filipino"]
[34,"Female",54,538,1,0,"Rural",37.799999999999997,"Other"]
[35,"Male",78,586,2,0,"Rural",36,"Japanese"]
[36,"Male",88,225,2,0,"Rural",40.700000000000003,"Japanese"]
[37,"Male",33,997,2,1,"Urban",40.200000000000003,"White"]
[38,"Female",22,399,1,1,"Urban",45.6,"White"]
[39,"Female",45,141,2,1,"Urban",35.799999999999997,"Native Hawaiian/Part"]
[40,"Male",33,125,2,1,"Urban",36.9,"Japanese"]
[41,"Female",32,586,1,0,"Rural",35.4,"Filipino"]
[42,"Female",54,415,1,0,"Rural",34.700000000000003,"Native Hawaiian/Part"]
[43,"Female",43,586,1,1,"Urban",35,"White"]
[44,"Female",55,152,2,1,"Urban",37.4,"Filipino"]
[45,"Female",77,586,1,0,"Rural",40.4,"Other"]
[46,"Female",45,379,1,0,"Rural",42.9,"Unknown"]
[47,"Female",32,103,2,0,"Rural",61.8,"Japanese"]
[48,"Female",23,133,2,1,"Urban",36.6,"Filipino"]
[49,"Female",44,315,2,1,"Urban",40.4,"White"]
[50,"Female",54,65,2,1,"Urban",35,"Other"]
[51,"Male",76,997,2,0,"Rural",39.200000000000003,"Japanese"]
[52,"Female",43,459,1,0,"Rural",34.200000000000003,"Other"]
[53,"Female",56,517,1,1,"Urban",35.200000000000003,"White"]
[54,"Female",77,340,1,1,"Urban",34,"Japanese"]
[55,"Female",44,517,2,1,"Urban",37.200000000000003,"White"]
[56,"Female",76,165,2,0,"Rural",35.4,"Other"]
[57,"Female",76,586,2,0,"Rural",47.2,"White"]
[58,"Female",43,340,2,0,"Rural",34.299999999999997,"Other"]
[59,"Female",23,340,2,1,"Urban",34.799999999999997,"Native Hawaiian/Part"]
[60,"Male",77,223,1,1,"Urban",35.9,"Other"]
[61,"Male",65,410,1,1,"Urban",34.9,"Native Hawaiian/Part"]
[62,"Male",43,140,1,0,"Rural",35.9,"Native Hawaiian/Part"]
[63,"Male",65,586,1,0,"Rural",36.799999999999997,"Japanese"]
[64,"Female",34,60,2,0,"Rural",45.2,"Japanese"]
[65,"Male",23,886,1,1,"Urban",35,"Native Hawaiian/Part"]
[66,"Male",54,110,2,1,"Urban",35.5,"Japanese"]
[67,"Female",65,199,1,0,"Rural",42.1,"Other"]
[68,"Male",44,91,2,0,"Rural",39.1,"Filipino"]
[69,"Male",76,419,2,1,"Urban",62.6,"Japanese"]
[70,"Male",64,191,2,1,"Urban",35.4,"Native Hawaiian/Part"]
[71,"Female",77,410,1,0,"Rural",46.8,"Filipino"]
[72,"Female",66,152,1,0,"Rural",35,"Other"]
[73,"Female",43,583,1,0,"Rural",34.799999999999997,"Other"]
[74,"Female",40,415,2,1,"Urban",40.5,"Other"]
[75,"Female",20,704,2,1,"Urban",37.1,"Other"]
[76,"Female",33,192,2,1,"Urban",35.700000000000003,"Native Hawaiian/Part"]
[77,"Female",42,51,1,0,"Rural",35.9,"Other"]
[78,"Female",66,44,1,0,"Rural",37.200000000000003,"Japanese"]
[79,"Female",54,44,1,0,"Rural",34.799999999999997,"Native Hawaiian/Part"]
[80,"Female",43,517,2,1,"Urban",49.4,"Native Hawaiian/Part"]
[81,"Male",88,219,1,0,"Rural",39.9,"Other"]
[82,"Female",32,310,2,1,"Urban",43.9,"White"]
[83,"Male",77,174,1,0,"Rural",71.900000000000006,"White"]
[84,"Female",43,517,1,1,"Urban",34.299999999999997,"Filipino"]
[85,"Female",24,410,2,1,"Urban",35,"Japanese"]
[86,"Female",34,997,1,0,"Rural",37.200000000000003,"White"]
[87,"Female",64,291,2,0,"Rural",46.6,"Native Hawaiian/Part"]
[88,"Female",43,340,2,1,"Urban",46.1,"Japanese"]
[89,"Male",77,75,2,0,"Rural",36.200000000000003,"Filipino"]
[90,"Female",34,222,1,0,"Rural",36.6,"Japanese"]
[91,"Male",64,586,1,1,"Urban",41.6,"White"]
[92,"Male",48,419,2,1,"Urban",37.299999999999997,"Filipino"]
[93,"Male",54,200,1,0,"Rural",34.700000000000003,"Other"]
[94,"Female",56,738,1,0,"Rural",34.9,"White"]
[95,"Female",4,586,1,0,"Rural",37.1,"White"]
[96,"Female",36,310,2,0,"Rural",43.6,"Other"]
[97,"Female",40,291,2,1,"Urban",38.299999999999997,"Native Hawaiian/Part"]
[98,"Female",42,340,1,1,"Urban",38.1,"Other"]
[99,"Male",56,410,2,1,"Urban",40,"Japanese"]
[100,"Female",23,219,1,1,"Urban",35.200000000000003,"Other"]

{"sheet":"Excel Shortcuts","index":4,"n_rows":47,"n_cols":6,"rows_kept":47,"cut":false,"hidden":false,"merged":[]}
[]
[null,"EXCEL SHORTCUTS (SOME OF THESE ARE FROM OLDER VERSIONS)",null,null,"TOC","Bold and red font are ones I use frequently."]
[null,"FUNCTION","HIT","HIT SECOND","RESULT","WHAT IT DOES"]
[null,"EDITING","ALT","IC",null,"insert a column"]
[null,"EDITING","ALT","IR",null,"insert a row"]
[null,"EDITING","ALT","ES",null,"paste options"]
[null,"EDITING","ALT","EDR",null,"deletes rows"]
[null,"EDITING","ALT","EDC",null,"deletes columns"]
[null,"EDITING","ALT","EDL",null,"shift cells left"]
[null,"EDITING","ALT","EDU",null,"shift cells up"]
[null,"EDITING","CTRL","Z",null,"undo an action, can hit multiple times to undo more actions"]
[null,"EDITING","CTRL","Y",null,"redo an action, can hit multiple times to redo more actions"]
[null,"EDITING","ALT","ENTER",null,"to enter a new line within a single cell"]
[null,"EDITING","CTRL","PGDN",null,"worksheet down"]
[null,"EDITING","CTRL","PGUP",null,"worksheet up"]
[null,"EDITING","CTRL","ALT V",null,"paste options"]
[null,"EDITING","CTRL","A",null,"selects all, group of cells, table, or all depending on where cursor is and how many times you do CTRL A"]
[null,"EDITING","CTRL","RIGHT ARROW",null,"move to right edge of data range"]
[null,"EDITING","CTRL","LEFT ARROW",null,"move to left edge of data range"]
[null,"EDITING","CTRL","UP ARROW",null,"move to top edge of data range"]
[null,"EDITING","CTRL","DOWN ARROW",null,"move to bottom edge of data range"]
[null,"EDITING","CTRL","F",null,"to open find box"]
[null,"EDITING","CTRL","H",null,"to open find and replace box"]
[null,"EDITING","CTRL","SPACE",null,"select column within table or worksheet"]
[null,"EDITING","CTRL","G",null,"brings up go to box, The 'Go To' window lets you to go to a named range or an address that you input. It also has 'Special' button that will let you select cells based on several criteria - blank cells, cells that contain constants, cells with formulas, etc. Note that you can also use F5 on Windows and fn F5 on a Mac to display the Go To window."]
[null,"EDITING","CTRL","ENTER",null,"enter same value in multiple cells, highlight area, enter value and hit CTRL ENTER"]
[null,"EDITING","CTRL","+",null,"insert"]
[null,"EDITING","CTRL","C",null,"copy cells"]
[null,"EDITING","CTRL","V",null,"paste cells"]
[null,"EDITING","SHIFT","SPACE",null,"select row within table or worksheet"]
[null,"EDITING"," = A2",null,null,"result of formula will place contents of A1 into the cell, remove the space before the ="]
[null,"EDITING"," =$A$2",null,null,"result of formula will place contents of A1 into the cell even if formula is copied and pasted elsewhere"]
[null,"FORMATTING","ALT","OCH",null,"hide column(s)"]
[null,"FORMATTING","ALT","OCU",null,"unhide column(s)"]
[null,"FORMATTING","ALT","ORH",null,"hide row(s)"]
[null,"FORMATTING","ALT","ORU",null,"unhide row(s)"]
[null,"FORMATTING","CTRL",1,null,"opens format box for cells and charts"]
[null,"FORMATTING","CTRL","B",null,"bold cell contents"]
[null,"FORMATTING","CTRL","I",null,"italicizes cell contents"]
[null,"FORMATTING","CTRL","U",null,"underlines cell contents"]
[null,"FORMATTING","CTRL","SHIFT $",1,"format as currency, used 1"]
[null,"FORMATTING","CTRL","SHIFT %",1,"format as percentage, used 1"]
[null,"FORMATTING","CTRL","SHIFT #","2000-01-01","format as date, used 1"]
[null,"FORMATTING","CTRL","SHIFT @","00:00:00","format as time, used 1"]
[null,"FORMATTING","CTRL","SHIFT !",1,"format as number, used 1"]
[null,"FORMATTING","CTRL","  ‛ "," ","Show all formulas, hit again to show results"]
[null,"FORMATTING","PAINTBRUSH",null," ","click once to use to copy formatting once or twice to use to copy formatting multiple times, reclick it to turn off"]

{"sheet":"Excel Formulas","index":5,"n_rows":19,"n_cols":5,"rows_kept":19,"cut":false,"hidden":false,"merged":[]}
[]
[null,"Data - Planning, Editing, and Formatting with Excel - Excel Formula Examples",null,"TOC"]
[null,"FUNCTION","FORMULA","EXAMPLE","RESULT"]
[null,"COPY ANOTHER CELL"," = B7",null,{"$f":"B7","v":"LOWER CASE ALL LETTERS"}]
[null,"COPY ANOTHER CELL AND RETAIN REFERENCE"," =$B$7",null,{"$f":"$B$7","v":"LOWER CASE ALL LETTERS"}]
[null,"CAPITALIZE ONLY FIRST LETTER"," =PROPER(D6)","MY COW ATE GRASS",{"$f":"PROPER(D6)","v":"My Cow Ate Grass"}]
[null,"LOWER CASE ALL LETTERS"," = LOWER(D7)","MY COW ATE GRASS",{"$f":"LOWER(D7)","v":"my cow ate grass"}]
[null,"UPPER CASE ALL LETTERS"," =UPPER(D8)","my cow ate grass",{"$f":"UPPER(D8)","v":"MY COW ATE GRASS"}]
[null,"COMPARE VALUES OF CELLS"," =IF(D5=D6,VALUEIFTRUE, VALUEIFFALSE )"," =IF(D5=D6,TRUE,FALSE)",{"$f":"IF(D6=D7,TRUE,FALSE)","v":true}]
[null,"COMPARE VALUES OF CELLS"," =IF(E8=E9,\"RIGHT\",\"WRONG\")",null,{"$f":"IF(E8=E9,\"RIGHT\",\"WRONG\")","v":"WRONG"}]
[null,"TEST COMPARISON AND RETURN VALUE"," =IF(1=1,TRUE,FALSE)",null,{"$f":"IF(1=1,TRUE,FALSE)","v":true}]
[null,"COUNT #CELLS THAT HAVE #'S"," =COUNT(D4:D9)",null,{"$f":"COUNT(D4:D9)","v":0}]
[null,"COUNT #CELLS WITH BLANKS"," =COUNTBLANK(E4:E9)",null,{"$f":"COUNTBLANK(E4:E9)","v":0}]
[null,"COUNT # CELLS NOT BLANK"," =COUNTA(E4:E9)",null,{"$f":"COUNTA(E4:E9)","v":6}]
[null,"COUNT #CELLS BY A RANGE"," =COUNTIF(E9:E14, \">3\")",null,{"$f":"COUNTIF(E9:E14, \">3\")","v":1}]
[null,"COUNT CELLS IF CERTAIN VALUE"," =COUNTIF(D4:D11,\"MY COW ATE GRASS\")",null,{"$f":"COUNTIF(D4:D11,\"MY COW ATE GRASS\")","v":3}]
[null,"COUNT #CELLS BY A RANGE"," =COUNTIFS(FINAL!B2:B101, \"FEMALE\",FINAL!E2:E101,1)","counts females married on the FINAL datasheet (with a ! to refer to that sheet) ",{"$f":"COUNTIFS(FINAL!B2:B101, \"FEMALE\",FINAL!E2:E101,1)","v":32}]
[null,"AVERAGE CELLS IF CERTAIN VALUE"," =AVERAGEIF(E12:E16,\">2\")",null,{"$f":"AVERAGEIF(E12:E16,\">2\")","v":4.5}]
[null,"NESTED FORMULA (64 POSSIBLE)"," = IF(SUM(E12:E16)>8,AVERAGE(E12:E16))",null,{"$f":" IF(SUM(E12:E16)>8,AVERAGE(E12:E16))","v":2}]

{"sheet":"Select Excel Functions","index":6,"n_rows":348,"n_cols":4,"rows_kept":348,"cut":false,"hidden":false,"merged":[[4,1,4,2],[0,1,0,2],[3,3,4,3]]}
[null,"SOURCE: MICROSOFT EXCEL FUNCTIONS (SELECTED AND SORTED BY TOPIC) \nApplies To: Excel 2016 Excel 2013 Excel 2010 Excel 2007 Excel 2016 for Mac Excel for Mac 2011"]
[null,"https://support.office.com/en-nz/article/Excel-s-alphabetical-b3944572-255d-4efb-bb96-c6d90033e188?CorrelationId=d97ef656-44c4-40c6-ac02-8e3942b7c439&ui=en-US&rs=en-NZ&ad=NZ",null,"TOC"]
[null,"Excel Formulas (SORTED BY TYPE)"]
[null,null,"Any changes to the Worksheet May Break Hyperlinks."]
[]
[null,"NAME","TYPE AND FUNCTION","HYPERLINK TO SECTIONS"]
[null,"EUROCONVERT ","Add-in and Automation:    Converts a number to euros, converts a number from euros to a euro member currency, or converts a number \n                                                     from one euro member currency to another by using the euro as an intermediary (triangulation).","Add-In "]
[null,"GETPIVOTDATA ","Add-in and Automation:    Returns data stored in a PivotTable report","Compatibility"]
[null,"BINOMDIST ","Compatibility:    Returns the individual term binomial distribution probability","Database"]
[null,"CHIDIST ","Compatibility:    Returns the one-tailed probability of the chi-squared distribution","Date and Time"]
[null,"CHITEST ","Compatibility:    Returns the test for independence","Financial"]
[null,"CONFIDENCE ","Compatibility:    Returns the confidence interval for a population mean","Information"]
[null,"COVAR ","Compatibility:    Returns covariance, the average of the products of paired deviations","Logical"]
[null,"EXPONDIST ","Compatibility:    Returns the exponential distribution","Lookup and Reference"]
[null,"FDIST ","Compatibility:    Returns the F probability distribution","Math and Trigonometry"]
[null,"FLOOR ","Compatibility:    Rounds a number down, toward zero","Statistical"]
[null,"FTEST ","Compatibility:    Returns the result of an F-test","Text Web"]
[null,"GAMMADIST ","Compatibility:    Returns the gamma distribution"]
[null,"LOGINV ","Compatibility:    Returns the inverse of the lognormal cumulative distribution"]
[null,"LOGNORMDIST ","Compatibility:    Returns the cumulative lognormal distribution"]
[null,"MODE ","Compatibility:    Returns the most common value in a data set"]
[null,"NEGBINOMDIST ","Compatibility:    Returns the negative binomial distribution"]
[null,"NORMDIST ","Compatibility:    Returns the normal cumulative distribution"]
[null,"NORMSDIST ","Compatibility:    Returns the standard normal cumulative distribution"]
[null,"PERCENTILE ","Compatibility:    Returns the k-th percentile of values in a range"]
[null,"PERCENTRANK ","Compatibility:    Returns the percentage rank of a value in a data set"]
[null,"POISSON ","Compatibility:    Returns the Poisson distribution"]
[null,"QUARTILE ","Compatibility:    Returns the quartile of a data set"]
[null,"RANK ","Compatibility:    Returns the rank of a number in a list of numbers"]
[null,"STDEV ","Compatibility:    Estimates standard deviation based on a sample"]
[null,"STDEVP ","Compatibility:    Calculates standard deviation based on the entire population"]
[null,"TDIST ","Compatibility:    Returns the Student's t-distribution"]
[null,"TTEST ","Compatibility:    Returns the probability associated with a Student's t-test"]
[null,"VAR ","Compatibility:    Estimates variance based on a sample"]
[null,"VARP ","Compatibility:    Calculates variance based on the entire population"]
[null,"WEIBULL ","Compatibility:    Calculates variance based on the entire population, including numbers, text, and logical values"]
[null,"ZTEST ","Compatibility:    Returns the one-tailed probability-value of a z-test","TOP"]
[null,"DAVERAGE ","Database:    Returns the average of selected database entries"]
[null,"DCOUNT ","Database:    Counts the cells that contain numbers in a database"]
[null,"DCOUNTA ","Database:    Counts nonblank cells in a database"]
[null,"DGET ","Database:    Extracts from a database a single record that matches the specified criteria"]
[null,"DMAX ","Database:    Returns the maximum value from selected database entries"]
[null,"DMIN ","Database:    Returns the minimum value from selected database entries"]
[null,"DPRODUCT ","Database:    Multiplies the values in a particular field of records that match the criteria in a database"]
[null,"DSTDEV ","Database:    Estimates the standard deviation based on a sample of selected database entries"]
[null,"DSTDEVP ","Database:    Calculates the standard deviation based on the entire population of selected database entries"]
[null,"DSUM ","Database:    Adds the numbers in the field column of records in the database that match the criteria"]
[null,"DVAR ","Database:    Estimates variance based on a sample from selected database entries"]
[null,"DVARP ","Database:    Calculates variance based on the entire population of selected database entries","TOP"]
[null,"DATE ","Date and time:    Returns the serial number of a particular date"]
[null,"DATEDIF ","Date and time:    Calculates the number of days, months, or years between two dates. This function is useful in formulas where you need \n                                 to calculate an age."]
[null,"DATEVALUE ","Date and time:    Converts a date in the form of text to a serial number"]
[null,"DAY ","Date and time:    Converts a serial number to a day of the month"]
[null,"DAYS ","Date and time:    Returns the number of days between two dates"]
[null,"DAYS360 ","Date and time:    Calculates the number of days between two dates based on a 360-day year"]
[null,"EDATE ","Date and time:    Returns the serial number of the date that is the indicated number of months before or after the start date"]
[null,"EOMONTH ","Date and time:    Returns the serial number of the last day of the month before or after a specified number of months"]
[null,"HOUR ","Date and time:    Converts a serial number to an hour"]
[null,"MINUTE ","Date and time:    Converts a serial number to a minute"]
[null,"MONTH ","Date and time:    Converts a serial number to a month"]
[null,"NETWORKDAYS ","Date and time:    Returns the number of whole workdays between two dates"]
[null,"NETWORKDAYS.INTL ","Date and time:    Returns the number of whole workdays between two dates using parameters to indicate which and how many days are \n                                 weekend days"]
[null,"NOW ","Date and time:    Returns the serial number of the current date and time"]
[null,"SECOND ","Date and time:    Converts a serial number to a second"]
[null,"TIME ","Date and time:    Returns the serial number of a particular time"]
[null,"TIMEVALUE ","Date and time:    Converts a time in the form of text to a serial number"]
[null,"TODAY ","Date and time:    Returns the serial number of today's date"]
[null,"WEEKDAY ","Date and time:    Converts a serial number to a day of the week"]
[null,"WEEKNUM ","Date and time:    Converts a serial number to a number representing where the week falls numerically with a year"]
[null,"WORKDAY ","Date and time:    Returns the serial number of the date before or after a specified number of workdays"]
[null,"WORKDAY.INTL ","Date and time:    Returns the serial number of the date before or after a specified number of workdays using parameters to indicate which \n                                 and how many days are weekend days"]
[null,"YEAR ","Date and time:    Converts a serial number to a year"]
[null,"YEARFRAC ","Date and time:    Returns the year fraction representing the number of whole days between start_date and end_date"]
[null,"ACCRINT ","Financial:    Returns the accrued interest for a security that pays periodic interest","TOP"]
[null,"ACCRINTM ","Financial:    Returns the accrued interest for a security that pays interest at maturity"]
[null,"AMORDEGRC ","Financial:    Returns the depreciation for each accounting period by using a depreciation coefficient"]
[null,"AMORLINC ","Financial:    Returns the depreciation for each accounting period"]
[null,"COUPDAYBS ","Financial:    Returns the number of days from the beginning of the coupon period to the settlement date"]
[null,"COUPDAYS ","Financial:    Returns the number of days in the coupon period that contains the settlement date"]
[null,"COUPDAYSNC ","Financial:    Returns the number of days from the settlement date to the next coupon date"]
[null,"COUPNCD ","Financial:    Returns the next coupon date after the settlement date"]
[null,"COUPNUM ","Financial:    Returns the number of coupons payable between the settlement date and maturity date"]
[null,"COUPPCD ","Financial:    Returns the previous coupon date before the settlement date"]
[null,"CUMIPMT ","Financial:    Returns the cumulative interest paid between two periods"]
[null,"CUMPRINC ","Financial:    Returns the cumulative principal paid on a loan between two periods"]
[null,"DB ","Financial:    Returns the depreciation of an asset for a specified period by using the fixed-declining balance method"]
[null,"DDB ","Financial:    Returns the depreciation of an asset for a specified period by using the double-declining balance method or some other \n                       method \n                     that you specify"]
[null,"DISC ","Financial:    Returns the discount rate for a security"]
[null,"DOLLARDE ","Financial:    Converts a dollar price, expressed as a fraction, into a dollar price, expressed as a decimal number"]
[null,"DOLLARFR ","Financial:    Converts a dollar price, expressed as a decimal number, into a dollar price, expressed as a fraction"]
[null,"DURATION ","Financial:    Returns the annual duration of a security with periodic interest payments"]
[null,"EFFECT ","Financial:    Returns the effective annual interest rate"]
[null,"FV ","Financial:    Returns the future value of an investment"]
[null,"FVSCHEDULE ","Financial:    Returns the future value of an initial principal after applying a series of compound interest rates"]
[null,"INTRATE ","Financial:    Returns the interest rate for a fully invested security"]
[null,"IPMT ","Financial:    Returns the interest payment for an investment for a given period"]
[null,"IRR ","Financial:    Returns the internal rate of return for a series of cash flows"]
[null,"ISPMT ","Financial:    Calculates the interest paid during a specific period of an investment"]
[null,"MDURATION ","Financial:    Returns the Macauley modified duration for a security with an assumed par value of $100"]
[null,"MIRR ","Financial:    Returns the internal rate of return where positive and negative cash flows are financed at different rates"]
[null,"NOMINAL ","Financial:    Returns the annual nominal interest rate"]
[null,"NPER ","Financial:    Returns the number of periods for an investment"]
[null,"NPV ","Financial:    Returns the net present value of an investment based on a series of periodic cash flows and a discount rate"]
[null,"ODDFPRICE ","Financial:    Returns the price per $100 face value of a security with an odd first period"]
[null,"ODDFYIELD ","Financial:    Returns the yield of a security with an odd first period"]
[null,"ODDLPRICE ","Financial:    Returns the price per $100 face value of a security with an odd last period"]
[null,"ODDLYIELD ","Financial:    Returns the yield of a security with an odd last period"]
[null,"PDURATION ","Financial:   Returns the number of periods required by an investment to reach a specified value"]
[null,"PMT ","Financial:    Returns the periodic payment for an annuity"]
[null,"PPMT ","Financial:    Returns the payment on the principal for an investment for a given period"]
[null,"PRICE ","Financial:    Returns the price per $100 face value of a security that pays periodic interest"]
[null,"PRICEDISC ","Financial:    Returns the price per $100 face value of a discounted security"]
[null,"PRICEMAT ","Financial:    Returns the price per $100 face value of a security that pays interest at maturity"]
[null,"PV ","Financial:    Returns the present value of an investment"]
[null,"RATE ","Financial:    Returns the interest rate per period of an annuity"]
[null,"RECEIVED ","Financial:    Returns the amount received at maturity for a fully invested security"]
[null,"RRI ","Financial:    Returns an equivalent interest rate for the growth of an investment"]
[null,"SLN ","Financial:    Returns the straight-line depreciation of an asset for one period"]
[null,"SYD ","Financial:    Returns the sum-of-years' digits depreciation of an asset for a specified period"]
[null,"TBILLEQ ","Financial:    Returns the bond-equivalent yield for a Treasury bill"]
[null,"TBILLPRICE ","Financial:    Returns the price per $100 face value for a Treasury bill"]
[null,"TBILLYIELD ","Financial:    Returns the yield for a Treasury bill"]
[null,"VDB ","Financial:    Returns the depreciation of an asset for a specified or partial period by using a declining balance method"]
[null,"XIRR ","Financial:    Returns the internal rate of return for a schedule of cash flows that is not necessarily periodic"]
[null,"XNPV ","Financial:    Returns the net present value for a schedule of cash flows that is not necessarily periodic"]
[null,"YIELD ","Financial:    Returns the yield on a security that pays periodic interest"]
[null,"YIELDDISC ","Financial:    Returns the annual yield for a discounted security; for example, a Treasury bill"]
[null,"YIELDMAT ","Financial:    Returns the annual yield of a security that pays interest at maturity"]
[null,"CELL ","Information:    Returns information about the formatting, location, or contents of a cell","TOP"]
[null,"ERROR.TYPE ","Information:    Returns a number corresponding to an error type"]
[null,"INFO ","Information:    Returns information about the current operating environment"]
[null,"ISBLANK ","Information:    Returns TRUE if the value is blank"]
[null,"ISERR ","Information:    Returns TRUE if the value is any error value except #N/A"]
[null,"ISERROR ","Information:    Returns TRUE if the value is any error value"]
[null,"ISEVEN ","Information:    Returns TRUE if the number is even"]
[null,"ISFORMULA ","Information:    Returns TRUE if there is a reference to a cell that contains a formula"]
[null,"ISLOGICAL ","Information:    Returns TRUE if the value is a logical value"]
[null,"ISNA ","Information:    Returns TRUE if the value is the #N/A error value"]
[null,"ISNONTEXT ","Information:    Returns TRUE if the value is not text"]
[null,"ISNUMBER ","Information:    Returns TRUE if the value is a number"]
[null,"ISODD ","Information:    Returns TRUE if the number is odd"]
[null,"ISREF ","Information:    Returns TRUE if the value is a reference"]
[null,"ISTEXT ","Information:    Returns TRUE if the value is text"]
[null,"N ","Information:    Returns a value converted to a number"]
[null,"NA ","Information:    Returns the error value #N/A"]
[null,"SHEET ","Information:    Returns the sheet number of the referenced sheet"]
[null,"SHEETS ","Information:    Returns the number of sheets in a reference"]
[null,"TYPE ","Information:    Returns a number indicating the data type of a value"]
[null,"AND ","Logical:    Returns TRUE if all of its arguments are TRUE","TOP"]
[null,"FALSE ","Logical:    Returns the logical value FALSE"]
[null,"IF ","Logical:    Specifies a logical test to perform"]
[null,"IFERROR ","Logical:    Returns a value you specify if a formula evaluates to an error; otherwise, returns the result of the formula"]
[null,"IFNA ","Logical:    Returns the value you specify if the expression resolves to #N/A, otherwise returns the result of the expression"]
[null,"NOT ","Logical:    Reverses the logic of its argument"]
[null,"OR ","Logical:    Returns TRUE if any argument is TRUE"]
[null,"TRUE ","Logical:    Returns the logical value TRUE"]
[null,"XOR ","Logical:    Returns a logical exclusive OR of all arguments"]
[null,"ADDRESS ","Lookup and reference:    Returns a reference as text to a single cell in a worksheet","TOP"]
[null,"AREAS ","Lookup and reference:    Returns the number of areas in a reference"]
[null,"CHOOSE ","Lookup and reference:    Chooses a value from a list of values"]
[null,"COLUMN ","Lookup and reference:    Returns the column number of a reference"]
[null,"COLUMNS ","Lookup and reference:    Returns the number of columns in a reference"]
[null,"FORMULATEXT ","Lookup and reference:    Returns the formula at the given reference as text"]
[null,"HLOOKUP ","Lookup and reference:    Looks in the top row of an array and returns the value of the indicated cell"]
[null,"HYPERLINK ","Lookup and reference:    Creates a shortcut or jump that opens a document stored on a network server, an intranet, or the Internet"]
[null,"INDEX ","Lookup and reference:    Uses an index to choose a value from a reference or array"]
[null,"INDIRECT ","Lookup and reference:    Returns a reference indicated by a text value"]
[null,"LOOKUP ","Lookup and reference:    Looks up values in a vector or array"]
[null,"MATCH ","Lookup and reference:    Looks up values in a reference or array"]
[null,"ROW ","Lookup and reference:    Returns the row number of a reference"]
[null,"ROWS ","Lookup and reference:    Returns the number of rows in a reference"]
[null,"TRANSPOSE ","Lookup and reference:    Returns the transpose of an array"]
[null,"VLOOKUP ","Lookup and reference:    Looks in the first column of an array and moves across the row to return the value of a cell"]
[null,"ABS ","Math and trigonometry:    Returns the absolute value of a number","TOP"]
[null,"AGGREGATE ","Math and trigonometry:    Returns an aggregate in a list or database"]
[null,"ARABIC ","Math and trigonometry:    Converts a Roman number to Arabic, as a number"]
[null,"CEILING ","Math and trigonometry:    Rounds a number to the nearest integer or to the nearest multiple of significance"]
[null,"CEILING.MATH ","Math and trigonometry:    Rounds a number up, to the nearest integer or to the nearest multiple of significance"]
[null,"CEILING.PRECISE ","Math and trigonometry:    Rounds a number the nearest integer or to the nearest multiple of significance. Regardless of the sign of the \n                                                 number, the number is rounded up."]
[null,"COMBIN ","Math and trigonometry:    Returns the number of combinations for a given number of objects"]
[null,"DECIMAL ","Math and trigonometry:    Converts a text representation of a number in a given base into a decimal number"]
[null,"EVEN ","Math and trigonometry:    Rounds a number up to the nearest even integer"]
[null,"EXP ","Math and trigonometry:    Returns e raised to the power of a given number"]
[null,"FACT ","Math and trigonometry:    Returns the factorial of a number"]
[null,"FLOOR.MATH ","Math and trigonometry:    Rounds a number down, to the nearest integer or to the nearest multiple of significance"]
[null,"FLOOR.PRECISE ","Math and trigonometry:    Rounds a number the nearest integer or to the nearest multiple of significance. Regardless of the sign of the \n                                                  number, the number is rounded up."]
[null,"GCD ","Math and trigonometry:    Returns the greatest common divisor"]
[null,"INT ","Math and trigonometry:    Rounds a number down to the nearest integer"]
[null,"ISO.CEILING ","Math and trigonometry:    Returns a number that is rounded up to the nearest integer or to the nearest multiple of significance"]
[null,"LN ","Math and trigonometry:    Returns the natural logarithm of a number"]
[null,"LOG ","Math and trigonometry:    Returns the logarithm of a number to a specified base"]
[null,"LOG10 ","Math and trigonometry:    Returns the base-10 logarithm of a number"]
[null,"MROUND ","Math and trigonometry:    Returns a number rounded to the desired multiple"]
[null,"MULTINOMIAL ","Math and trigonometry:    Returns the multinomial of a set of numbers"]
[null,"ODD ","Math and trigonometry:    Rounds a number up to the nearest odd integer"]
[null,"PI ","Math and trigonometry:    Returns the value of pi"]
[null,"POWER ","Math and trigonometry:    Returns the result of a number raised to a power"]
[null,"PRODUCT ","Math and trigonometry:    Multiplies its arguments"]
[null,"QUOTIENT ","Math and trigonometry:    Returns the integer portion of a division"]
[null,"RAND ","Math and trigonometry:    Returns a random number between 0 and 1"]
[null,"RANDBETWEEN ","Math and trigonometry:    Returns a random number between the numbers you specify"]
[null,"ROMAN ","Math and trigonometry:    Converts an Arabic numeral to roman, as text"]
[null,"ROUND ","Math and trigonometry:    Rounds a number to a specified number of digits"]
[null,"ROUNDDOWN ","Math and trigonometry:    Rounds a number down, toward zero"]
[null,"ROUNDUP ","Math and trigonometry:    Rounds a number up, away from zero"]
[null,"SIGN ","Math and trigonometry:    Returns the sign of a number"]
[null,"SIN ","Math and trigonometry:    Returns the sine of the given angle"]
[null,"SINH ","Math and trigonometry:    Returns the hyperbolic sine of a number"]
[null,"SQRT ","Math and trigonometry:    Returns a positive square root"]
[null,"SQRTPI ","Math and trigonometry:    Returns the square root of (number * pi)"]
[null,"SUBTOTAL ","Math and trigonometry:    Returns a subtotal in a list or database"]
[null,"SUM ","Math and trigonometry:    Adds its arguments"]
[null,"SUMIF ","Math and trigonometry:    Adds the cells specified by a given criteria"]
[null,"SUMIFS ","Math and trigonometry:    Adds the cells in a range that meet multiple criteria"]
[null,"SUMPRODUCT ","Math and trigonometry:    Returns the sum of the products of corresponding array components"]
[null,"SUMSQ ","Math and trigonometry:    Returns the sum of the squares of the arguments"]
[null,"SUMX2MY2 ","Math and trigonometry:    Returns the sum of the difference of squares of corresponding values in two arrays"]
[null,"SUMX2PY2 ","Math and trigonometry:    Returns the sum of the sum of squares of corresponding values in two arrays"]
[null,"SUMXMY2 ","Math and trigonometry:    Returns the sum of squares of differences of corresponding values in two arrays"]
[null,"TRUNC ","Math and trigonometry:    Truncates a number to an integer"]
[null,"AVEDEV ","Statistical:    Returns the average of the absolute deviations of data points from their mean","TOP"]
[null,"AVERAGE ","Statistical:    Returns the average of its arguments"]
[null,"AVERAGEA ","Statistical:    Returns the average of its arguments, including numbers, text, and logical values"]
[null,"AVERAGEIF ","Statistical:    Returns the average (arithmetic mean) of all the cells in a range that meet a given criteria"]
[null,"AVERAGEIFS ","Statistical:    Returns the average (arithmetic mean) of all cells that meet multiple criteria."]
[null,"BETA.DIST ","Statistical:    Returns the beta cumulative distribution function"]
[null,"BETA.INV ","Statistical:    Returns the inverse of the cumulative distribution function for a specified beta distribution"]
[null,"BINOM.DIST ","Statistical:    Returns the individual term binomial distribution probability"]
[null,"BINOM.DIST.RANGE ","Statistical:    Returns the probability of a trial result using a binomial distribution"]
[null,"BINOM.INV ","Statistical:    Returns the smallest value for which the cumulative binomial distribution is less than or equal to a criterion value"]
[null,"CHISQ.DIST ","Statistical:    Returns the cumulative beta probability density function"]
[null,"CHISQ.DIST.RT ","Statistical:    Returns the one-tailed probability of the chi-squared distribution"]
[null,"CHISQ.INV ","Statistical:    Returns the cumulative beta probability density function"]
[null,"CHISQ.INV.RT ","Statistical:    Returns the inverse of the one-tailed probability of the chi-squared distribution"]
[null,"CHISQ.TEST ","Statistical:    Returns the test for independence"]
[null,"CONFIDENCE.NORM ","Statistical:    Returns the confidence interval for a population mean"]
[null,"CONFIDENCE.T ","Statistical:    Returns the confidence interval for a population mean, using a Student's t distribution"]
[null,"CORREL ","Statistical:    Returns the correlation coefficient between two data sets"]
[null,"COUNT ","Statistical:    Counts how many numbers are in the list of arguments"]
[null,"COUNTA ","Statistical:    Counts how many values are in the list of arguments"]
[null,"COUNTBLANK ","Statistical:    Counts the number of blank cells within a range"]
[null,"COUNTIF ","Statistical:    Counts the number of cells within a range that meet the given criteria"]
[null,"COUNTIFS ","Statistical:    Counts the number of cells within a range that meet multiple criteria"]
[null,"COVARIANCE.P ","Statistical:    Returns covariance, the average of the products of paired deviations"]
[null,"COVARIANCE.S ","Statistical:    Returns the sample covariance, the average of the products deviations for each data point pair in two data sets"]
[null,"DEVSQ ","Statistical:    Returns the sum of squares of deviations"]
[null,"EXPON.DIST ","Statistical:    Returns the exponential distribution"]
[null,"F.DIST ","Statistical:    Returns the F probability distribution"]
[null,"F.DIST.RT ","Statistical:    Returns the F probability distribution"]
[null,"F.INV ","Statistical:    Returns the inverse of the F probability distribution"]
[null,"F.INV.RT ","Statistical:    Returns the inverse of the F probability distribution"]
[null,"F.TEST ","Statistical:    Returns the result of an F-test"]
[null,"FINV ","Statistical:    Returns the inverse of the F probability distribution"]
[null,"FISHER ","Statistical:    Returns the Fisher transformation"]
[null,"FISHERINV ","Statistical:    Returns the inverse of the Fisher transformation"]
[null,"FORECAST ","Statistical:    Returns a value along a linear trend"]
[null,"FORECAST.ETS ","Statistical:    Returns a future value based on existing (historical) values by using the AAA version of the Exponential Smoothing (ETS) \n                        algorithm"]
[null,"FORECAST.ETS.CONFINT ","Statistical:    Returns a confidence interval for the forecast value at the specified target date"]
[null,"FORECAST.ETS.SEASONALITY ","Statistical:    Returns the length of the repetitive pattern Excel detects for the specified time series"]
[null,"FORECAST.ETS.STAT ","Statistical:    Returns a statistical value as a result of time series forecasting"]
[null,"FORECAST.LINEAR ","Statistical:    Returns a future value based on existing values"]
[null,"FREQUENCY ","Statistical:    Returns a frequency distribution as a vertical array"]
[null,"GAMMA ","Statistical:    Returns the Gamma function value"]
[null,"GAMMA.DIST ","Statistical:    Returns the gamma distribution"]
[null,"GEOMEAN ","Statistical:    Returns the geometric mean"]
[null,"GROWTH ","Statistical:    Returns values along an exponential trend"]
[null,"HARMEAN ","Statistical:    Returns the harmonic mean"]
[null,"HYPGEOM.DIST ","Statistical:    Returns the hypergeometric distribution"]
[null,"INTERCEPT ","Statistical:    Returns the intercept of the linear regression line"]
[null,"KURT ","Statistical:    Returns the kurtosis of a data set"]
[null,"LARGE ","Statistical:    Returns the k-th largest value in a data set"]
[null,"LINEST ","Statistical:    Returns the parameters of a linear trend"]
[null,"LOGEST ","Statistical:    Returns the parameters of an exponential trend"]
[null,"LOGNORM.DIST ","Statistical:    Returns the cumulative lognormal distribution"]
[null,"MAX ","Statistical:    Returns the maximum value in a list of arguments"]
[null,"MAXA ","Statistical:    Returns the maximum value in a list of arguments, including numbers, text, and logical values"]
[null,"MEDIAN ","Statistical:    Returns the median of the given numbers"]
[null,"MIN ","Statistical:    Returns the minimum value in a list of arguments"]
[null,"MINA ","Statistical:    Returns the smallest value in a list of arguments, including numbers, text, and logical values"]
[null,"MODE.MULT ","Statistical:    Returns a vertical array of the most frequently occurring, or repetitive values in an array or range of data"]
[null,"MODE.SNGL ","Statistical:    Returns the most common value in a data set"]
[null,"NEGBINOM.DIST ","Statistical:    Returns the negative binomial distribution"]
[null,"NORM.DIST ","Statistical:    Returns the normal cumulative distribution"]
[null,"NORM.S.DIST ","Statistical:    Returns the standard normal cumulative distribution"]
[null,"NORM.S.INV ","Statistical:    Returns the inverse of the standard normal cumulative distribution"]
[null,"NORMINV ","Statistical:    Returns the inverse of the normal cumulative distribution"]
[null,"PEARSON ","Statistical:    Returns the Pearson product moment correlation coefficient"]
[null,"PERCENTILE.EXC ","Statistical:    Returns the k-th percentile of values in a range, where k is in the range 0..1, exclusive"]
[null,"PERCENTILE.INC ","Statistical:    Returns the k-th percentile of values in a range"]
[null,"PERCENTRANK.EXC ","Statistical:    Returns the rank of a value in a data set as a percentage (0..1, exclusive) of the data set"]
[null,"PERCENTRANK.INC ","Statistical:    Returns the percentage rank of a value in a data set"]
[null,"PERMUT ","Statistical:    Returns the number of permutations for a given number of objects"]
[null,"PHI ","Statistical:    Returns the value of the density function for a standard normal distribution"]
[null,"POISSON.DIST ","Statistical:    Returns the Poisson distribution"]
[null,"PROB ","Statistical:    Returns the probability that values in a range are between two limits"]
[null,"QUARTILE.EXC ","Statistical:    Returns the quartile of the data set, based on percentile values from 0..1, exclusive"]
[null,"QUARTILE.INC ","Statistical:    Returns the quartile of a data set"]
[null,"RANK.AVG ","Statistical:    Returns the rank of a number in a list of numbers"]
[null,"RANK.EQ ","Statistical:    Returns the rank of a number in a list of numbers"]
[null,"RSQ ","Statistical:    Returns the square of the Pearson product moment correlation coefficient"]
[null,"SKEW ","Statistical:    Returns the skewness of a distribution"]
[null,"SKEW.P ","Statistical:    Returns the skewness of a distribution based on a population: a characterization of the degree of asymmetry of a distribution \n                        around its mean"]
[null,"SLOPE ","Statistical:    Returns the slope of the linear regression line"]
[null,"SMALL ","Statistical:    Returns the k-th smallest value in a data set"]
[null,"STANDARDIZE ","Statistical:    Returns a normalized value"]
[null,"STDEV.P ","Statistical:    Calculates standard deviation based on the entire population"]
[null,"STDEV.S ","Statistical:    Estimates standard deviation based on a sample"]
[null,"STDEVA ","Statistical:    Estimates standard deviation based on a sample, including numbers, text, and logical values"]
[null,"STDEVPA ","Statistical:    Calculates standard deviation based on the entire population, including numbers, text, and logical values"]
[null,"STEYX ","Statistical:    Returns the standard error of the predicted y-value for each x in the regression"]
[null,"T.DIST ","Statistical:    Returns the Percentage Points (probability) for the Student t-distribution"]
[null,"T.DIST.2T ","Statistical:    Returns the Percentage Points (probability) for the Student t-distribution"]
[null,"T.DIST.RT ","Statistical:    Returns the Student's t-distribution"]
[null,"T.INV ","Statistical:    Returns the t-value of the Student's t-distribution as a function of the probability and the degrees of freedom"]
[null,"T.TEST ","Statistical:    Returns the probability associated with a Student's t-test"]
[null,"TREND ","Statistical:    Returns values along a linear trend"]
[null,"VAR.P ","Statistical:    Calculates variance based on the entire population"]
[null,"VAR.S ","Statistical:    Estimates variance based on a sample"]
[null,"VARA ","Statistical:    Estimates variance based on a sample, including numbers, text, and logical values"]
[null,"VARPA ","Statistical:    Calculates variance based on the entire population, including numbers, text, and logical values"]
[null,"WEIBULL.DIST ","Statistical:    Returns the Weibull distribution"]
[null,"Z.TEST ","Statistical:    Returns the one-tailed probability-value of a z-test"]
[null,"CHAR ","Text:    Returns the character specified by the code number","TOP"]
[null,"CLEAN ","Text:    Removes all nonprintable characters from text"]
[null,"CODE ","Text:    Returns a numeric code for the first character in a text string"]
[null,"CONCATENATE ","Text:    Joins several text items into one text item"]
[null,"DOLLAR ","Text:    Converts a number to text, using the $ (dollar) currency format"]
[null,"EXACT ","Text:    Checks to see if two text values are identical"]
[null,"FIND, FINDB s","Text:    Finds one text value within another (case-sensitive)"]
[null,"FIXED ","Text:    Formats a number as text with a fixed number of decimals"]
[null,"LEFT, LEFTB s","Text:    Returns the leftmost characters from a text value"]
[null,"LEN, LENB s","Text:    Returns the number of characters in a text string"]
[null,"LOWER ","Text:    Converts text to lowercase"]
[null,"MID, MIDB s","Text:    Returns a specific number of characters from a text string starting at the position you specify"]
[null,"NUMBERVALUE ","Text:    Converts text to number in a locale-independent manner"]
[null,"PROPER ","Text:    Capitalizes the first letter in each word of a text value"]
[null,"REPLACE, REPLACEB s","Text:    Replaces characters within text"]
[null,"REPT ","Text:    Repeats text a given number of times"]
[null,"RIGHT, RIGHTB s","Text:    Returns the rightmost characters from a text value"]
[null,"SEARCH, SEARCHB s","Text:    Finds one text value within another (not case-sensitive)"]
[null,"SUBSTITUTE ","Text:    Substitutes new text for old text in a text string"]
[null,"T ","Text:    Converts its arguments to text"]
[null,"TEXT ","Text:    Formats a number and converts it to text"]
[null,"TRIM ","Text:    Removes spaces from text"]
[null,"UNICHAR ","Text:    Returns the Unicode character that is references by the given numeric value"]
[null,"UNICODE ","Text:    Returns the number (code point) that corresponds to the first character of the text"]
[null,"UPPER ","Text:    Converts text to uppercase"]
[null,"VALUE ","Text:    Converts a text argument to a number"]

{"sheet":"Random Dup","index":7,"n_rows":55,"n_cols":6,"rows_kept":55,"cut":false,"hidden":false,"merged":[[3,2,3,5],[5,4,5,5]]}
[]
[null,null,"Data - Planning, Editing, and Formatting with Excel- Generating Random Numbers",null,null,"TOC"]
[null,null,"The random number generator is a useful formula to know.  "]
[null,null,"Please note that Excel regenerates the number when any change is made, if you want to keep the numbers you need to copy and paste as values or go to FORMULAS and CALCULATION OPTIONS and click on MANUAL."]
[null,null,"GOAL","PRODUCE 40 RANDOM NUMBERS BETWEEN 1 AND 40 WITH DUPLICATES POSSIBLE"]
[null,null,"FORMULA"," =RANDBETWEEN(1,40)","Duplicates formatted by highlighting the cells and clicking on Conditional Formatting on the HOME RIBBON, and then Highlight Cell Rules and Duplicate Values."]
[null,null,"(TIE THEM TO AN IDENTIFIER, E.G. IDN)"]
[null,null,"IDN","FORMULA","RESULT","NUMBER"]
[null,null,1," =RANDBETWEEN(1,40)",{"$f":"RANDBETWEEN(1,40)","v":37}]
[null,null,2," =RANDBETWEEN(1,40)",{"$f":"RANDBETWEEN(1,40)","v":40}]
[null,null,3," =RANDBETWEEN(1,40)",22]
[null,null,4," =RANDBETWEEN(1,40)",21]
[null,null,5," =RANDBETWEEN(1,40)",26]
[null,null,6," =RANDBETWEEN(1,40)",34]
[null,null,7," =RANDBETWEEN(1,40)",8]
[null,null,8," =RANDBETWEEN(1,40)",3]
[null,null,9," =RANDBETWEEN(1,40)",18]
[null,null,10," =RANDBETWEEN(1,40)",17]
[null,null,11," =RANDBETWEEN(1,40)",23]
[null,null,12," =RANDBETWEEN(1,40)",35]
[null,null,13," =RANDBETWEEN(1,40)",10]
[null,null,14," =RANDBETWEEN(1,40)",11]
[null,null,15," =RANDBETWEEN(1,40)",4]
[null,null,16," =RANDBETWEEN(1,40)",12]
[null,null,17," =RANDBETWEEN(1,40)",26]
[null,null,18," =RANDBETWEEN(1,40)",37]
[null,null,19," =RANDBETWEEN(1,40)",33]
[null,null,20," =RANDBETWEEN(1,40)",32]
[null,null,21," =RANDBETWEEN(1,40)",27]
[null,null,22," =RANDBETWEEN(1,40)",39]
[null,null,23," =RANDBETWEEN(1,40)",39]
[null,null,24," =RANDBETWEEN(1,40)",6]
[null,null,25," =RANDBETWEEN(1,40)",12]
[null,null,26," =RANDBETWEEN(1,40)",27]
[null,null,27," =RANDBETWEEN(1,40)",32]
[null,null,28," =RANDBETWEEN(1,40)",36]
[null,null,29," =RANDBETWEEN(1,40)",14]
[null,null,30," =RANDBETWEEN(1,40)",1]
[null,null,31," =RANDBETWEEN(1,40)",24]
[null,null,32," =RANDBETWEEN(1,40)",25]
[null,null,33," =RANDBETWEEN(1,40)",26]
[null,null,34," =RANDBETWEEN(1,40)",12]
[null,null,35," =RANDBETWEEN(1,40)",12]
[null,null,36," =RANDBETWEEN(1,40)",31]
[null,null,37," =RANDBETWEEN(1,40)",22]
[null,null,38," =RANDBETWEEN(1,40)",37]
[null,null,39," =RANDBETWEEN(1,40)",20]
[null,null,40," =RANDBETWEEN(1,40)",8]
[]
[]
[null,null,"WHAT IT DOES","FORMULA (TAKE OUT THE LEADING SPACE)","RESULT"]
[null,null,"A random number between 0 and 1 (varies)"," =RAND()",{"$f":"RAND()","v":0.74666301615341302}]
[null,null,"A random number greater than or equal to 0 but less than 100 (varies)"," =RAND()*100",{"$f":"RAND()*100","v":87.568679325330862}]
[null,null,"Random number between -1 and 1 (varies) and generates an integer"," =RANDBETWEEN(-1,1)",{"$f":"RANDBETWEEN(-1,1)","v":-1}]
[null,null,"A random number greater than or equal to 0 but less than 100 (varies), ROUND TO 1 DIGIT"," =ROUND(RAND()*100,1)",{"$f":"ROUND(RAND()*100,1)","v":89}]

{"sheet":"Random No Dup","index":8,"n_rows":48,"n_cols":7,"rows_kept":48,"cut":false,"hidden":false,"merged":[]}
[]
[null,null,"Data - Planning, Editing, and Formatting with Excel- Generating Random Numbers, No Duplicates",null,null,null,"TOC"]
[null,null,"The random number generator is a useful formula to know.  Result 1 has duplicates and Result 2 has no duplicates.  "]
[null,null,"GOAL","PRODUCE 40 RANDOM NUMBERS BETWEEN 1 AND 40 WITH NO DUPLICATES"]
[null,null,"FORMULA"," =RANDBETWEEN(1,40)"]
[]
[null,null,null,"(WITH DUPLICATES)","(NO DUPLICATES)","(Duplicates in Blue)","(No Duplicates)"]
[null,null,"IDN","FORMULA 1","FORMULA 2","RESULT 1","RESULT 2"]
[null,null,1," =RANDBETWEEN(1,40)"," =RANK(D9,D$9:D$48)+COUNTIF(D$9:D9,D9)-1",{"$f":"RANDBETWEEN(1,40)","v":20},{"$f":"RANK(F9,F$9:F$48)+COUNTIF(F$9:F9,F9)-1","v":24}]
[null,null,2," =RANDBETWEEN(1,40)"," =RANK(D9,D$8:D$47)+COUNTIF(D$8:D9,D9)-1",{"$f":"RANDBETWEEN(1,40)","v":35},{"$f":"RANK(F10,F$9:F$48)+COUNTIF(F$9:F10,F10)-1","v":6}]
[null,null,3," =RANDBETWEEN(1,40)"," =RANK(D10,D$8:D$47)+COUNTIF(D$8:D10,D10)-1",13,{"$f":"RANK(F11,F$9:F$48)+COUNTIF(F$9:F11,F11)-1","v":32}]
[null,null,4," =RANDBETWEEN(1,40)"," =RANK(D11,D$8:D$47)+COUNTIF(D$8:D11,D11)-1",25,{"$f":"RANK(F12,F$9:F$48)+COUNTIF(F$9:F12,F12)-1","v":14}]
[null,null,5," =RANDBETWEEN(1,40)"," =RANK(D12,D$8:D$47)+COUNTIF(D$8:D12,D12)-1",29,{"$f":"RANK(F13,F$9:F$48)+COUNTIF(F$9:F13,F13)-1","v":12}]
[null,null,6," =RANDBETWEEN(1,40)"," =RANK(D13,D$8:D$47)+COUNTIF(D$8:D13,D13)-1",36,{"$f":"RANK(F14,F$9:F$48)+COUNTIF(F$9:F14,F14)-1","v":5}]
[null,null,7," =RANDBETWEEN(1,40)"," =RANK(D14,D$8:D$47)+COUNTIF(D$8:D14,D14)-1",20,{"$f":"RANK(F15,F$9:F$48)+COUNTIF(F$9:F15,F15)-1","v":25}]
[null,null,8," =RANDBETWEEN(1,40)"," =RANK(D15,D$8:D$47)+COUNTIF(D$8:D15,D15)-1",10,{"$f":"RANK(F16,F$9:F$48)+COUNTIF(F$9:F16,F16)-1","v":36}]
[null,null,9," =RANDBETWEEN(1,40)"," =RANK(D16,D$8:D$47)+COUNTIF(D$8:D16,D16)-1",21,{"$f":"RANK(F17,F$9:F$48)+COUNTIF(F$9:F17,F17)-1","v":22}]
[null,null,10," =RANDBETWEEN(1,40)"," =RANK(D17,D$8:D$47)+COUNTIF(D$8:D17,D17)-1",37,{"$f":"RANK(F18,F$9:F$48)+COUNTIF(F$9:F18,F18)-1","v":3}]
[null,null,11," =RANDBETWEEN(1,40)"," =RANK(D18,D$8:D$47)+COUNTIF(D$8:D18,D18)-1",28,{"$f":"RANK(F19,F$9:F$48)+COUNTIF(F$9:F19,F19)-1","v":13}]
[null,null,12," =RANDBETWEEN(1,40)"," =RANK(D19,D$8:D$47)+COUNTIF(D$8:D19,D19)-1",23,{"$f":"RANK(F20,F$9:F$48)+COUNTIF(F$9:F20,F20)-1","v":17}]
[null,null,13," =RANDBETWEEN(1,40)"," =RANK(D20,D$8:D$47)+COUNTIF(D$8:D20,D20)-1",11,{"$f":"RANK(F21,F$9:F$48)+COUNTIF(F$9:F21,F21)-1","v":35}]
[null,null,14," =RANDBETWEEN(1,40)"," =RANK(D21,D$8:D$47)+COUNTIF(D$8:D21,D21)-1",37,{"$f":"RANK(F22,F$9:F$48)+COUNTIF(F$9:F22,F22)-1","v":4}]
[null,null,15," =RANDBETWEEN(1,40)"," =RANK(D22,D$8:D$47)+COUNTIF(D$8:D22,D22)-1",21,{"$f":"RANK(F23,F$9:F$48)+COUNTIF(F$9:F23,F23)-1","v":23}]
[null,null,16," =RANDBETWEEN(1,40)"," =RANK(D23,D$8:D$47)+COUNTIF(D$8:D23,D23)-1",30,{"$f":"RANK(F24,F$9:F$48)+COUNTIF(F$9:F24,F24)-1","v":11}]
[null,null,17," =RANDBETWEEN(1,40)"," =RANK(D24,D$8:D$47)+COUNTIF(D$8:D24,D24)-1",38,{"$f":"RANK(F25,F$9:F$48)+COUNTIF(F$9:F25,F25)-1","v":2}]
[null,null,18," =RANDBETWEEN(1,40)"," =RANK(D25,D$8:D$47)+COUNTIF(D$8:D25,D25)-1",24,{"$f":"RANK(F26,F$9:F$48)+COUNTIF(F$9:F26,F26)-1","v":15}]
[null,null,19," =RANDBETWEEN(1,40)"," =RANK(D26,D$8:D$47)+COUNTIF(D$8:D26,D26)-1",16,{"$f":"RANK(F27,F$9:F$48)+COUNTIF(F$9:F27,F27)-1","v":28}]
[null,null,20," =RANDBETWEEN(1,40)"," =RANK(D27,D$8:D$47)+COUNTIF(D$8:D27,D27)-1",15,{"$f":"RANK(F28,F$9:F$48)+COUNTIF(F$9:F28,F28)-1","v":29}]
[null,null,21," =RANDBETWEEN(1,40)"," =RANK(D28,D$8:D$47)+COUNTIF(D$8:D28,D28)-1",24,{"$f":"RANK(F29,F$9:F$48)+COUNTIF(F$9:F29,F29)-1","v":16}]
[null,null,22," =RANDBETWEEN(1,40)"," =RANK(D29,D$8:D$47)+COUNTIF(D$8:D29,D29)-1",18,{"$f":"RANK(F30,F$9:F$48)+COUNTIF(F$9:F30,F30)-1","v":26}]
[null,null,23," =RANDBETWEEN(1,40)"," =RANK(D30,D$8:D$47)+COUNTIF(D$8:D30,D30)-1",32,{"$f":"RANK(F31,F$9:F$48)+COUNTIF(F$9:F31,F31)-1","v":9}]
[null,null,24," =RANDBETWEEN(1,40)"," =RANK(D31,D$8:D$47)+COUNTIF(D$8:D31,D31)-1",23,{"$f":"RANK(F32,F$9:F$48)+COUNTIF(F$9:F32,F32)-1","v":18}]
[null,null,25," =RANDBETWEEN(1,40)"," =RANK(D32,D$8:D$47)+COUNTIF(D$8:D32,D32)-1",40,{"$f":"RANK(F33,F$9:F$48)+COUNTIF(F$9:F33,F33)-1","v":1}]
[null,null,26," =RANDBETWEEN(1,40)"," =RANK(D33,D$8:D$47)+COUNTIF(D$8:D33,D33)-1",33,{"$f":"RANK(F34,F$9:F$48)+COUNTIF(F$9:F34,F34)-1","v":7}]
[null,null,27," =RANDBETWEEN(1,40)"," =RANK(D34,D$8:D$47)+COUNTIF(D$8:D34,D34)-1",5,{"$f":"RANK(F35,F$9:F$48)+COUNTIF(F$9:F35,F35)-1","v":38}]
[null,null,28," =RANDBETWEEN(1,40)"," =RANK(D35,D$8:D$47)+COUNTIF(D$8:D35,D35)-1",8,{"$f":"RANK(F36,F$9:F$48)+COUNTIF(F$9:F36,F36)-1","v":37}]
[null,null,29," =RANDBETWEEN(1,40)"," =RANK(D36,D$8:D$47)+COUNTIF(D$8:D36,D36)-1",18,{"$f":"RANK(F37,F$9:F$48)+COUNTIF(F$9:F37,F37)-1","v":27}]
[null,null,30," =RANDBETWEEN(1,40)"," =RANK(D37,D$8:D$47)+COUNTIF(D$8:D37,D37)-1",22,{"$f":"RANK(F38,F$9:F$48)+COUNTIF(F$9:F38,F38)-1","v":20}]
[null,null,31," =RANDBETWEEN(1,40)"," =RANK(D38,D$8:D$47)+COUNTIF(D$8:D38,D38)-1",23,{"$f":"RANK(F39,F$9:F$48)+COUNTIF(F$9:F39,F39)-1","v":19}]
[null,null,32," =RANDBETWEEN(1,40)"," =RANK(D39,D$8:D$47)+COUNTIF(D$8:D39,D39)-1",4,{"$f":"RANK(F40,F$9:F$48)+COUNTIF(F$9:F40,F40)-1","v":40}]
[null,null,33," =RANDBETWEEN(1,40)"," =RANK(D40,D$8:D$47)+COUNTIF(D$8:D40,D40)-1",15,{"$f":"RANK(F41,F$9:F$48)+COUNTIF(F$9:F41,F41)-1","v":30}]
[null,null,34," =RANDBETWEEN(1,40)"," =RANK(D41,D$8:D$47)+COUNTIF(D$8:D41,D41)-1",5,{"$f":"RANK(F42,F$9:F$48)+COUNTIF(F$9:F42,F42)-1","v":39}]
[null,null,35," =RANDBETWEEN(1,40)"," =RANK(D42,D$8:D$47)+COUNTIF(D$8:D42,D42)-1",13,{"$f":"RANK(F43,F$9:F$48)+COUNTIF(F$9:F43,F43)-1","v":33}]
[null,null,36," =RANDBETWEEN(1,40)"," =RANK(D43,D$8:D$47)+COUNTIF(D$8:D43,D43)-1",15,{"$f":"RANK(F44,F$9:F$48)+COUNTIF(F$9:F44,F44)-1","v":31}]
[null,null,37," =RANDBETWEEN(1,40)"," =RANK(D44,D$8:D$47)+COUNTIF(D$8:D44,D44)-1",32,{"$f":"RANK(F45,F$9:F$48)+COUNTIF(F$9:F45,F45)-1","v":10}]
[null,null,38," =RANDBETWEEN(1,40)"," =RANK(D45,D$8:D$47)+COUNTIF(D$8:D45,D45)-1",33,{"$f":"RANK(F46,F$9:F$48)+COUNTIF(F$9:F46,F46)-1","v":8}]
[null,null,39," =RANDBETWEEN(1,40)"," =RANK(D46,D$8:D$47)+COUNTIF(D$8:D46,D46)-1",12,{"$f":"RANK(F47,F$9:F$48)+COUNTIF(F$9:F47,F47)-1","v":34}]
[null,null,40," =RANDBETWEEN(1,40)"," =RANK(D47,D$8:D$47)+COUNTIF(D$8:D47,D47)-1",22,{"$f":"RANK(F48,F$9:F$48)+COUNTIF(F$9:F48,F48)-1","v":21}]

{"sheet":"Other Random","index":9,"n_rows":33,"n_cols":6,"rows_kept":33,"cut":false,"hidden":false,"merged":[[19,2,20,2],[18,3,18,4],[21,3,22,4],[25,3,25,4],[32,3,32,4],[19,3,20,4],[31,3,31,4]]}
[]
[null,null,"Data - Planning, Editing, and Formatting with Excel - Other Random Formulas",null,null,"TOC"]
[]
[null,null,"GOAL","Choose A Name At Random From Column E (NAME)."]
[null,null,"FIRST","The Datafile Below was Named In FORMULAS And Name Manager.  See Below."]
[null,null,null,"The Name Is POVERTY."]
[null,null,"POVERTY DATAFILE"]
[null,null,"ID","POVERTY","NAME","TEAM"]
[null,null,1,"ABOVE","HUANG LEE",{"$f":"CHOOSE(RANDBETWEEN(1,3),\"Blue Team\",\"Red Team\",\"Yellow Team\")","v":"Blue Team"}]
[null,null,2,"BELOW","BEN CARSON",{"$f":"CHOOSE(RANDBETWEEN(1,3),\"Blue Team\",\"Red Team\",\"Yellow Team\")","v":"Yellow Team"}]
[null,null,3,"BELOW","MAY WRIGHT","Yellow Team"]
[null,null,4,"AT","TISH JOHNSON","Blue Team"]
[null,null,5,"ABOVE","RUTH THOMPSON","Red Team"]
[null,null,6,"BELOW","KANANI OSHIRO","Yellow Team"]
[null,null,7,"AT","SALLY CHU","Blue Team"]
[null,null,8,"AT","TOM THUMB","Blue Team"]
[null,null,9,"BELOW","SUE STRONG","Yellow Team"]
[]
[null,null,null,"To find a name at random you first need to generate a location, row and column reference, at random."]
[null,null,"Naming a Datafile","Location of Data - First to refer to the data it is easiest to name the data set rather than to refer to cell's rows and columns.  To name a range of a data set, first highlight the range with your mouse with no headers and go to FORMULAS and then Name Manager and new.  The name of the datafile on this worksheet is 'POVERTY' and you can use name to refer to in formulas.  Naming a datafile is often easier than writing, e.g. $C$9:$E$17  The F column will be discussed below."]
[]
[null,null,null,"Row Value - To find a random value from column c (it contains the number of participants)  to serve as the row value, point to the data named 'POVERTY' (from Name Manager in FORMULAS, POVERTY represents $C$9:$E$17 on this worksheet) to generate a number between the minimum and maximum ID's in the ID column.  The ROWS counts the number of ROWS in the POVERTY datafile and the RANDBETWEEN generates a random number between 1 and the number of ROWS."]
[]
[null,null,null,"Formula",null,"Example Person IDN Chosen:"]
[null,null,null," =RANDBETWEEN(1,ROWS(POVERTY))",null,{"$f":"RANDBETWEEN(1,ROWS(POVERTY))","v":3}]
[null,null,null,"Column Value -  Then adding the INDEX function chooses the name in the column E  (in this case column 3 in the named dataset POVERTY) with that row number.  To point to the column   with names input the column number in the dataset by the last number."]
[null,null,null,"Formula",null,"Example:"]
[null,null,null," =INDEX(POVERTY,RANDBETWEEN(1,ROWS(POVERTY)),3)",null,{"$f":"INDEX(POVERTY,RANDBETWEEN(1,ROWS(POVERTY)),3)","v":"SUE STRONG"}]
[]
[null,null,"GOAL","Randomly Assign A Treatment Or Baseball Team"]
[null,null,null,"The CHOOSE function will randomly assign one of three Team Names when the following formula is pasted into Column F above."]
[null,null,null,"  =CHOOSE(RANDBETWEEN(1,3),\"Blue Team\",\"Red Team\",\"Yellow Team\")"]
[null,null,null,"NOTE: Values Change If Changes Are Made."]

{"sheet":"Research Questions","index":10,"n_rows":17,"n_cols":5,"rows_kept":17,"cut":false,"hidden":false,"merged":[]}
[]
[null,null,"Data - Planning, Editing, and Formatting with Excel",null,"TOC"]
[null,null,"Initial Questions"]
[null,null,"Questions to Ask Prior To Collecting Data"]
[null,null,"What are the questions you are asking of your data?  The planning that you do ahead of time will save you time."]
[null,null,1,"Explain the study of interest in easily understandable words."]
[null,null,2,"What is your variable of interest and what other variables are being studied?"]
[null,null,3,"Do you want to describe your data only and not test a hypothesis?"]
[null,null,4,"Do you have a hypothesis, an idea you are testing or a variable of interest?   "]
[null,null,5,"Do you have a test or a treatment group?  Do you have a control group?"]
[null,null,6,"What are your independent and dependent variables?"]
[null,null,7,"Is your study on data already collected or will you be collecting data in the future?"]
[null,null,8,"Will you be sampling data from a population of values?  What is your sampling design (e.g. random, stratified, clustered)? "]
[null,null,9,"Do you have a Data Codebook?"]
[null,null,10,"Do you know your sample size?  What sample size is needed to test your hypothesis?"]
[null,null,11,"Do you have published estimates or know from your own experience about the distribution of your outcome variable?"]
[null,null,12,"Suggestion:  Picture how you would like to see your final data.  Do you have a table in mind?  Lay it out with variables and values.  Do you have  a figure in mind?  Draw a picture and label the axes."]

{"sheet":"Hypothesis","index":11,"n_rows":15,"n_cols":5,"rows_kept":15,"cut":false,"hidden":false,"merged":[[5,3,5,4],[6,3,6,4],[4,2,4,4]]}
[]
[null,null,"Data - Planning, Editing, and Formatting with Excel",null,"TOC"]
[null,null,"Hypothesis"]
[null,null,"Create An Clear Hypothesis and Analysis Plan"]
[null,null,"THIS WORKBOOK - To test for BMI (body mass index) differences between urban and rural populations in Hawaii."]
[null,null,"Null Hypothesis Ho: ","There was no statistical difference in BMI between urban and rural populations in Hawaii."]
[null,null,"Alternative Hypothesis H1:"," There was a difference in BMI between urban and rural populations in Hawaii."]
[null,null,"1. What is the hypothesis…goal? "]
[null,null,"There is a difference in weight loss between urban and rural populations but in what direction?"]
[null,null,"2.What is the outcome variable (dependent variable, variable of interest)? "]
[null,null,"BMI (body mass index"]
[null,null,"3.What are the independent variables?  "]
[null,null,"Urban/Rural, Gender, Age, other variables?"]
[null,null,"4.  What is the test statistic?",null,"Student's t test"]
[null,null,"5.  Set Your p or probability Values to test significance of test statistic.",null,"α = 0.05"]

{"sheet":"Statistical Tests","index":12,"n_rows":25,"n_cols":5,"rows_kept":25,"cut":false,"hidden":false,"merged":[[2,2,4,2]]}
[]
[null,null,"Data - Plotting and Analysis with Excel",null,"TOC"]
[null,null,"Choosing the Right Statistical Test, Check these out…","https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3116565/"]
[null,null,null,"http://www.biostathandbook.com/testchoice.html"]
[null,null,null,"http://www.bmj.com/about-bmj/resources-readers/publications/statistics-square-one/13-study-design-and-choosing-statisti"]
[null,null,"Questions To Ask Prior To Collecting Data",null,"In This Study Only"]
[]
[null,null,1,"Is Your sample random?","Yes"]
[null,null,2,"Are your variables independent of each other?  Are your variables associated (correlated)?","We Can Test This"]
[null,null,3,"Are your data paired? Pre Post","No"]
[null,null,4,"Are you interested only in descriptive statistics, that pertains only to your data?","Yes/No"]
[null,null,5,"Do you want to make inferences from your sample data to the population in general?  This is the area of hypothesis testing; accepting or rejecting a null hypothesis of no difference.  ","Yes"]
[null,null,"A.","What sample size is needed?","50 Each Urban/Rural"]
[null,null,"B.","Is your outcome categorical?","No"]
[null,null,null,"Check Assumptions Prior to any Test"]
[null,null,null,"1.  Example Odds Ratio or Relative Risk"]
[null,null,null,"2.  Example Chi-Square Test to test if counts of outcomes are different from expected"]
[null,null,"C.","Is your outcome continuous?","Yes"]
[null,null,null,"Check Assumptions Prior to any Test"]
[null,null,null,"1.  Do descriptive statistics  and graphs on continuous variables.","Yes"]
[null,null,null,"2.  Example Student's T Test - Two Unpaired Groups","Yes"]
[null,null,null,"3.  Example ANOVA - Several Unpaired Groups","No"]
[null,null,null,"4.  Regression linear","BMI by Age or Poverty"]
[null,null,"For more complicated statistics please see a statistician to see if Excel is the best way to analyze your data."]
[null,null,6,"Are your data time dependent?  See a statistician"]

{"sheet":"Variable Type","index":13,"n_rows":17,"n_cols":6,"rows_kept":17,"cut":false,"hidden":false,"merged":[[7,2,7,3],[8,4,8,5],[12,4,12,5]]}
[]
[null,null,"Data - Planning, Editing, and Formatting with Excel - Variable Type",null,null,"TOC"]
[null,null,"Variable Types"]
[null,null,"Variable Types"]
[null,null,"Statistical tests are often described as non-parametric or parametric and depend on the data type and distribution."]
[null,null,"It is important prior to your study to know the types of variables that you will be analyzing."]
[]
[null,null,"TYPE",null,"DEFINITION","EXAMPLE"]
[null,null,"Non-Parametric",null,"Number or character variables that do not have a distribution frequency"]
[null,null,1,"Categorical","variables that fit into groups with no order to the group","eye color, \nblood type"]
[null,null,2,"Ordinal","variables that fit into groups where there is an order","grades A,B,C,D etc."]
[]
[null,null,"Parametric",null,"Number variables that follow a type of distribution"]
[null,null,3,"Count Variables","variables that are integers or a tally of a number of items","number of eggs "]
[null,null,4,"Continuous","variables that can contain intermediate values on a range of values","waist circumference*"]
[null,null,5,"Continuous with a valid zero","variables that can contain intermediate values on a range of values and has a true zero","temperature"]
[null,null,"* this could also be a count variable if e.g. you were counting the number of inches"]

{"sheet":"Variable Codebook","index":14,"n_rows":13,"n_cols":8,"rows_kept":13,"cut":false,"hidden":false,"merged":[[1,2,1,4],[3,1,3,7]]}
[]
[null,null,"Data - Planning, Editing, and Formatting with Excel - Codesheet Example",null,null,"TOC"]
[null,null,"Variable Codebook"]
[null,"It Is Important To Have A Variable Codesheet That Defines The Variables In Your Study So That Another Researcher Can Understand Your Analysis"]
[null,"VARIABLE","DEFINITION","ROLE","TYPE","UNITS","LABEL (software)","FORMAT"]
[null,"IDN","IDN","Identify Patient or Survey Respondent","Numeric","1-100",null,"None"]
[null,"GENDER","Gender Identified by Patient","Independent","Nominal","Text","Gender","Female\nMale"]
[null,"AGE","Age in Years","Independent","Numeric","Years since birth","Age","None ≥18years"]
[null,"ETHNICITY","Ethnicity Identified By Adult","Independent","Nominal","1,2,3","Ethnicity","Text"]
[null,"RURAL/URBAN","Defined By Zip Code ","Independent, Variable of Interest","Nominal coded numerical","1,2",null,"1 = Urban \n2 = Rural"]
[null,"BMI","BMI = ((weight in pounds)/\n               (height in inches)2)*703","Dependent Outcome, Calculated ","Numeric","Index Units","Body Mass Index","None"]
[null,"POVERTY","Poverty Level, Guidelines HHS, based on Household Size and Income\nhttp://aspe.hhs.gov/poverty/11poverty.shtml","Independent","Numeric","Percent","Poverty","None"]
[null,"MARRIED","Marital Status","Independent","Nominal coded as numeric","1,2","Married","1 = Married \n2 = Not Married"]

{"sheet":"Copies and HIPAA","index":15,"n_rows":12,"n_cols":5,"rows_kept":12,"cut":false,"hidden":false,"merged":[]}
[]
[null,null,null,"Data - Planning, Editing, and Formatting with Excel - HIPAA","TOC"]
[]
[null,null,null,"SAFEGUARDING YOUR DATASET IS A TOP PRIORITY"]
[]
[null,null,null,"SAVE A COPY OF THE ORIGINAL DATASET AND CREATE A WORKING COPY WHERE YOU MODIFY VARIABLES AND VALUES"]
[null,null,null,"CREATE A BACKUP OF THE ORIGINAL FILE AND ALSO THE WORKING COPY WITH DATES OF CREATION IN THE NAME"]
[null,null,null,"I GO BACK TO THE ORIGINAL MANY TIMES IN A STUDY TO VERIFY VARIABLES AND VALUES"]
[null,null,null,"SAFEGUARD ALL COPIES IN A SECURE LOCATION!!!"]
[null,null,null,"OBSERVE HIPAA RULES "]
[null,null,null,"SAFEGUARD ALL COPIES IN A SECURE LOCATION!!!"]
[null,null,null,"OBSERVE HIPAA RULES, PROTECT THE PRIVACY OF PATIENTS OR PERSONS"]

{"sheet":"Database Structure Flatfile","index":16,"n_rows":104,"n_cols":7,"rows_kept":104,"cut":false,"hidden":false,"merged":[[0,1,0,5],[1,1,3,1],[1,2,1,5],[2,2,2,5]]}
[null,"Cross Sectional Data (Point in Time) Structure (FLATFILE)",null,null,null,null,"FICTICIOUS DATA"]
[null,"Observation Identifier","Columns are Variables",null,null,null,"TOC"]
[null,null,"FOUR VARIABLES PLUS IDENTIFIER"]
[null,null,"GENDER","AGE","POVERTY VALUE","BMI","Header Row with Variable Names"]
["Rows are Respondents",1,2,72,133,23.028600000000001]
[null,2,2,63,486,27.979800000000001,"DATA"]
[null,3,2,40,75,50]
[null,4,1,53,738,22.468800000000002]
[null,5,2,72,192,27.069700000000001,"Four variable values Per Individual"]
[null,6,2,68,399,39.060099999999998]
[null,7,2,88,281,26.949200000000001]
[null,8,2,67,340,26.625599999999999]
[null,9,1,78,174,25.389099999999999]
[null,10,1,78,997,19.84]
[null,11,2,70,738,24.607800000000001]
[null,12,2,67,133,26.7562]
[null,13,2,25,379,28.697199999999999]
[null,14,2,86,738,20.506499999999999]
[null,15,2,49,498,23.2974]
[null,16,2,84,340,29.260200000000001]
[null,17,2,33,415,24.031099999999999]
[null,18,2,30,202,30.897099999999998]
[null,19,2,90,459,21.948399999999999]
[null,20,2,67,310,23.6187]
[null,21,1,53,486,32.316299999999998]
[null,22,2,59,192,21.765499999999999]
[null,23,2,42,82,45]
[null,24,2,79,340,21.633299999999998]
[null,25,1,60,74,36.262900000000002]
[null,26,2,64,281,30.1143]
[null,27,2,60,94,35.4895]
[null,28,2,85,459,26.1252]
[null,29,2,41,340,25.853000000000002]
[null,30,2,73,162,21.7897]
[null,31,2,48,583,19.5779]
[null,32,2,42,583,19.204899999999999]
[null,33,1,65,399,23.7103]
[null,34,1,45,538,29.289200000000001]
[null,35,2,53,586,36.316200000000002]
[null,36,2,81,225,24.961500000000001]
[null,37,2,59,997,21.456299999999999]
[null,38,1,68,399,26.581499999999998]
[null,39,1,86,141,20.982700000000001]
[null,40,1,51,125,39.533099999999997]
[null,41,1,52,586,31.8719]
[null,42,2,40,415,27.435500000000001]
[null,43,1,59,586,27.3691]
[null,44,2,52,152,"."]
[null,45,2,58,586,22.631699999999999]
[null,46,1,59,379,17.485800000000001]
[null,47,2,79,103,18.777200000000001]
[null,48,2,47,133,31.093599999999999]
[null,49,1,39,315,19.131499999999999]
[null,50,2,60,65,43.896900000000002]
[null,51,2,94,997,18]
[null,52,2,66,459,24.8]
[null,53,1,64,517,25.6234]
[null,54,1,59,340,34.868200000000002]
[null,55,2,56,517,28.245899999999999]
[null,56,2,35,165,18.5535]
[null,57,2,46,586,26.7562]
[null,58,1,51,340,20.254799999999999]
[null,59,2,52,340,21.948399999999999]
[null,60,2,61,223,19.6508]
[null,61,1,70,410,26.625900000000001]
[null,62,1,48,140,24.1294]
[null,63,1,62,586,32.571300000000001]
[null,64,1,68,60,18.246099999999998]
[null,65,2,68,886,20.7258]
[null,66,2,71,110,37.789900000000003]
[null,67,2,76,199,21.257200000000001]
[null,68,1,36,91,31.796800000000001]
[null,69,2,43,419,27.8032]
[null,70,1,41,191,40.009500000000003]
[null,71,1,60,410,23.628]
[null,72,2,64,152,20.406600000000001]
[null,73,2,56,583,27.342099999999999]
[null,74,1,82,415,24.889399999999998]
[null,75,2,80,704,21.150500000000001]
[null,76,2,83,192,23.737200000000001]
[null,77,1,24,51,33.066200000000002]
[null,78,2,82,44,27.3691]
[null,79,2,67,44,25.2407]
[null,80,1,76,517,28.796700000000001]
[null,81,2,72,219,24.5091]
[null,82,2,76,310,25.1938]
[null,83,1,23,174,20.088000000000001]
[null,84,1,66,517,25.384]
[null,85,2,81,410,26.521000000000001]
[null,86,1,58,997,23.567799999999998]
[null,87,2,47,291,26.365600000000001]
[null,88,1,65,340,46.987000000000002]
[null,89,2,29,75,26.605899999999998]
[null,90,1,75,222,24.412500000000001]
[null,91,1,45,586,21.287099999999999]
[null,92,2,66,419,28.4787]
[null,93,2,23,498,20.941400000000002]
[null,94,1,61,738,25.8432]
[null,95,1,61,586,20.542899999999999]
[null,96,2,87,310,26.886800000000001]
[null,97,2,53,291,21.005600000000001]
[null,98,2,41,340,25.508199999999999]
[null,99,2,56,410,28.129300000000001]
[null,100,2,79,219,23.7775]

{"sheet":"Steps Editing Flatfile","index":17,"n_rows":30,"n_cols":6,"rows_kept":30,"cut":false,"hidden":false,"merged":[[29,1,29,2],[2,1,2,2],[21,4,21,5],[22,4,22,5],[23,4,23,5],[27,4,27,5],[28,1,28,2]]}
[]
[null,null,"Data - Planning, Editing, and Formatting with Excel - Steps Editing Flatfile",null,null,"TOC"]
[null,"FLATFILE",null,"GOAL","FREE FROM ERRORS, INCONSISTENCIES, AND FORMATTED CORRECTLY (FOR STATISTICAL SOFTWARE)"]
[null,null,1,"HEADER ROW WITH NO SPACES","The variable names should be in a header row with no spaces within names only an _."]
[null,null,null,null,"If multiple columns, you can highlight the top row and find and replace spaces with an underscore _."]
[null,null,2,"ROWS","List of e.g. persons, adults, or secure identifier ."]
[null,null,3,"FORMAT FONT, SIZE, AND ALIGNMENT","Hit CTRL + A, and format font, font size, alignment, numbers, style."]
[null,null,4,"UNMERGE ALL CELLS","Make sure there are no merged cells by hitting CTRL + A, highlight all cells and press unmerge icon."]
[null,null,5,"FREEZE PANES","If table is huge so that you can use scroll and still see headers, go to View and Freeze Panes."]
[null,null,6,"FIND AND REMOVE DUPLICATES IF APPROPRIATE","In conditional formatting highlight duplicates."]
[null,null,null,null,"Remove duplicates after examining them or delete the row of data."]
[null,null,null,null,"Can also sort on unique records, only in advanced sort, and copy and paste sorted cells into another worksheet, the duplicates do not copy."]
[null,null,6,"TURN ON FILTER FOR EACH COLUMN OR FORMAT AS A TABLE","Check for inconsistent values or blank cells."]
[null,null,null,null,"Check numeric column that all values are numbered, 0, or missing coded with a . (period)."]
[null,null,null,null,"Check text column that all values are alpha_numeric text with missing coded with a space."]
[null,null,null,null,"For text entries spaces can be replaced with an  _ (underscore)."]
[null,null,null,null,"Create a separate column with only text if important text is in a numeric variable."]
[null,null,7,"CHECK RANGE OF VALUES","Make sure data table has correct range of values for each variable."]
[null,null,8,null,"Delete extra columns and rows."]
[null,null,9,"SORTING ON A COLUMN","Sort & filter and choose A-Z or Z-A."]
[null,null,null,null,"Before sorting highlight selected rows to make sure they stay together!!!"]
[null,null,null,null,"Make sure no empty cells prior to sorting and an empty row between data table and headers."]
[null,null,null,null,"Make sure that a space for a character (text) variable is in every cell that is empty; a period for a numeric variable."]
[null,null,null,null,"Can also filter on unique records (Data and Filter) only in advanced filter.  Then copy and paste entire workbook, the duplicates do not copy."]
[null,null,10,"ROUNDING"," = (round,cell,number of digits), be careful using this formula so that you know it is not an actual number in the cell."]
[null,null,11,"TEXT TO COLUMNS","Can use this if text within a variable separated by a common element, Go to Data and Text to Columns and input the delimiter in the text.  You can only do one Column at a time."]
[null,null,null,"TEXT TO COLUMNS","Highlight column E and hit Data and Text To Columns to see an example."]
[null,null,9,"ONE MAIN WORKSHEET OF DATA","If there is more than one worksheet of data, each worksheet needs a common identifier so that they are combined by the identifier.  "]
[null,"MULTIPLE WORKSHEETS",null,"NEED AT LEAST ONE COMMON IDENTIFYING VARIABLE"]
[null,"MULTIPLE LINES PER PATIENT",null,"IDENTIFY EACH LINE WITH AN IDN AND A REFERENCE E.G. DATE, YEAR"]

{"sheet":"Excel_file_to_edit","index":18,"n_rows":102,"n_cols":9,"rows_kept":102,"cut":false,"hidden":false,"merged":[]}
["IDN","GENDER","AGE","POVERTY VALUE","MARITAL STATUS","RURAL","URBAN","BMI","TOC"]
[1,"Female",34,133,2,1,0,39.1,"FICTICIOUS DATA!!"]
[2,"Male",56,486,1,0,1,35,"TASKS"]
[3,"Female",73,75,1,1,0,34.799999999999997,"Check Header Row And Replace Any Space With An _ (Underscore)"]
[4,"Male",42,738,1,0,1,34.5,"Format Font, Size, And Alignment, Do a CTRL A or hit the top left cell to Highlight Worksheet"]
[5,"Female",55,192,2,1,0,38,"Unmerge all cells, do a CTRL A or hit the top left cell to highlight worksheet."]
[6,"Female",67,399,2,0,1,34.299999999999997,"Freeze Panes so that you can Scroll (Tip - Under View)."]
[7,"Male",23,281,2,1,0,40.200000000000003,"Check duplicates of individuals - by color coding (Tip - Under Conditional Formatting, Highlight Cells Rules)."]
[8,"Male",72,340,1,0,1,38.4,"Filter columns - Highlight columns and hit filter (Under Data, Sort And Filter)."]
[9,"Male",43,174,1,1,0,38.799999999999997,"Check values by clicking on the filter icon for each column individually; look for character values in a numeric variable and vice versa, look for mistakes in coding, look for blank values."]
[10,"Female",54,997,2,0,1,35.5,"Replace cells that are empty with a . (Period) If numeric data or a space if text data."]
[11,"Female",66,738,2,1,0,38.6,"Combine the RURAL and URBAN columns into one column with URBAN = 1 and RURAL = 2."]
[12,"Female",75,133,2,1,0,39.200000000000003,"Attempt to fill In missing data with valid data."]
[13,"Male",23,379,1,1,0,36.5]
[14,"Male",44,738,1,0,1,36.6]
[15,"Female",73,498,1,1,0,36.799999999999997]
[16,"Male",23,340,1,0,1,41.1]
[17,"Male",64,415,2,0,1,34.5]
[18,"Female",54,202,1,0,1,35.200000000000003]
[19,"Male",23,459,2,1,0,37.4]
[20,"Male",45,310,1,1,0,38]
[21,"Female",55,486,1,0,1,36.4]
[22,"Female",34,192,1,1,0,38.4]
[23,"Male",34,82,2,0,1,44.3]
[24,"Female",65,340,2,0,1,36]
[25,"Male",45,74,1,0,1,49.9]
[26,"Female",44,281,2.1,1,0,34.200000000000003]
[27,"Female",33,94,2.4,1,0,41]
[28,"Female",66,459,2,0,1,34.1]
[29,"Female",43,340,2,0,1,38.799999999999997]
[30,"Female",55,162,1,1,0,36.799999999999997]
[31,"Male",43,583,1,11,1,40.700000000000003]
[32,"Female",56,583,1,1,1,34.200000000000003]
[33,"Female",34,399,2,1,0,35.9]
[34,"Female",54,538,1,1,0,37.799999999999997]
[35,"Male",78,586,2,1,0,36]
[36,"Male",25,225,2,1,0,40.700000000000003]
[37,"Male",33,997,"DIVORCED",0,1,40.200000000000003]
[38,"Female",22,399,1,0,1,45.6]
[39,"Female",45,141,2,0,1,35.799999999999997]
[40,"Male",33,125,2,0,1,36.9]
[41,"Female",32,586,1,1,0,35.4]
[42,"Female",66,200,1,1,0,42.1]
[42,"Female",54,415,1,1,0,34.700000000000003]
[43,"Female",43,586,1,0,1,35]
[44,"Female",55,152,2,0,1,37.4]
[45,"Female",77,586,1,1,0,40.4]
[46,"Female",45,379,1,1,0,42.9]
[47,"Female",32,103,2,1,0,61.8]
[48,"Female",23,133,2,0,1,36.6]
[49,"Female",44,315,2,0,1,40.4]
[50,"Female",54,65,2,0,1,35]
[51,"Male",76,997,2,1,0,39.200000000000003]
[52,"Female",43,459,1,1,0,34.200000000000003]
[53,"Female",56,517,1,0,1,35.200000000000003]
[54,"Female",77,340,1,0,1,34]
[55,"Female",44,517,2,0,1,37.200000000000003]
[56,"Female",76,165,2,1,0,35.4]
[57,"Female",76,586,2,1,0,47.2]
[58,"Female",43,340,2,1,0,34.299999999999997]
[59,"Female",23,340,2,0,1,34.799999999999997]
[60,"Male",77,223,1,0,1,35.9]
[61,"Male",65,410,1,0,1,34.9]
[62,"Male",43,140,1,1,0,35.9]
[63,"Male",65,586,1,1,0,36.799999999999997]
[64,"Female",34,60,5,1,0,45.2]
[65,"Male",23,886,1,0,1,35]
[66,"Male",54,110,2,0,1,35.5]
[67,"Female",65,199,1,1,0,42.1]
[68,"Male",44,91,2,1,0,39.1]
[69,"Male",76,419,2,0,1,62.6]
[70,"Male",64,191,2,0,1,35.4]
[71,"Female",77,410,1,1,0,46.8]
[72,"Female",66,152,1,1,0,35]
[73,"Female",43,583,1,11,1,34.799999999999997]
[74,"Female",40,415,2,0,1,40.5]
[75,"Female",20,704,2,0,1,37.1]
[76,"Female",33,192,2,0,1,35.700000000000003]
[77,"Female",42,51,1,1,0,35.9]
[78,"Female",66,44,1,1,0,37.200000000000003]
[79,"Female",54,44,1,1,0,34.799999999999997]
[80,"Female",43,517,2,0,1,49.4]
[81,"Male",55,219,1,1,0,39.9]
[82,"Female",32,310,2,0,1,43.9]
[83,"Male",77,174,1,1,0,71.900000000000006]
[84,"Female",43,517,1,0,1,34.299999999999997]
[85,null,24,410,2,0,1,35]
[86,"Female",34,997,1,1,0,37.200000000000003]
[87,"Female",null,291,2,1,0,46.6]
[88,"Female",43,340,2,0,1,46.1]
[89,"Male",77,75,2,1,0,36.200000000000003]
[90,"Female",34,222,1,1,0,36.6]
[91,"Male",64,586,1,0,1,41.6]
[92,"Male",48,419,2,0,1,37.299999999999997]
[93,"Male",54,2000,1,1,0,34.700000000000003]
[94,1,56,738,1,1,0,34.9]
[95,"Female",43,586,1,1,0,37.1]
[96,"Female",36,310,2,1,0,43.6]
[97,"Female",40,291,2,0,1,38.299999999999997]
[98,"Female",42,340,1,0,1,38.1]
[99,"Male",56,410,2,0,1,40]
[100,"Female",23,219,1,0,1,35.200000000000003]

{"sheet":"Edited File","index":19,"n_rows":101,"n_cols":9,"rows_kept":101,"cut":false,"hidden":false,"merged":[[2,7,4,7],[5,7,7,7],[10,7,13,7]]}
["IDN","GENDER","AGE","POVERTY_VALUE","MARITAL_STATUS","URBAN_RURAL","BMI"]
[1,"Female",34,133,2,1,39.1,"USING THE FILTER UNDER DATA","TOC"]
[2,"Male",56,486,1,2,35,"HIGHLIGHT THE COLUMNS AND CLICK FILTER, "]
[3,"Female",73,75,1,1,34.799999999999997]
[4,"Male",42,738,1,2,34.5]
[5,"Female",55,192,2,1,38,"(CLICK ON THE SQUARE WITH THE TRIANGLE TO SEE THE RANGE OF VALUES), YOU CAN UNCLICK CERTAIN VALUES WITHIN THE LIST"]
[6,"Female",67,399,2,2,34.299999999999997]
[7,"Male",23,281,2,1,40.200000000000003]
[8,"Male",72,340,1,2,38.4]
[9,"Male",43,174,1,1,38.799999999999997,"WHAT VARIABLE IS MISSING?"]
[10,"Female",54,997,2,2,35.5,"MAC PUT YOUR POINTER IN A CELL OF THE TABLE YOU WANT TO FILTER AND HIT FILTER IN THE STANDARD TOOLBAR.  THEN CLICK ON THE ARROW OF THE COLUMN YOU WANT TO FILTER TO SEE OPTIONS."]
[11,"Female",66,738,2,1,38.6]
[12,"Female",75,133,2,1,39.200000000000003]
[13,"Male",23,379,1,1,36.5]
[14,"Male",44,738,1,2,36.6]
[15,"Female",73,498,1,1,36.799999999999997]
[16,"Male",23,340,1,2,41.1]
[17,"Male",64,415,2,2,34.5]
[18,"Female",54,202,1,2,35.200000000000003]
[19,"Male",23,459,2,1,37.4]
[20,"Male",45,310,1,1,38]
[21,"Female",55,486,1,2,36.4]
[22,"Female",34,192,1,1,38.4]
[23,"Male",34,82,2,2,44.3]
[24,"Female",65,340,2,2,36]
[25,"Male",45,74,1,2,49.9]
[26,"Female",44,281,1,1,34.200000000000003]
[27,"Female",33,94,2,1,41]
[28,"Female",66,459,2,2,34.1]
[29,"Female",43,340,2,2,38.799999999999997]
[30,"Female",55,162,1,1,36.799999999999997]
[31,"Male",43,583,1,1,40.700000000000003]
[32,"Female",56,583,1,1,34.200000000000003]
[33,"Female",34,399,2,1,35.9]
[34,"Female",54,538,1,1,37.799999999999997]
[35,"Male",78,586,2,1,36]
[36,"Male",25,225,2,1,40.700000000000003]
[37,"Male",33,997,2,2,40.200000000000003]
[38,"Female",22,399,1,2,45.6]
[39,"Female",45,141,2,2,35.799999999999997]
[40,"Male",33,125,2,2,36.9]
[41,"Female",32,586,1,1,35.4]
[42,"Female",54,415,1,1,34.700000000000003]
[43,"Female",43,586,1,2,35]
[44,"Female",55,152,2,2,37.4]
[45,"Female",77,586,1,1,40.4]
[46,"Female",45,379,1,1,42.9]
[47,"Female",32,103,2,1,61.8]
[48,"Female",23,133,2,2,36.6]
[49,"Female",44,315,2,2,40.4]
[50,"Female",54,65,2,2,35]
[51,"Male",76,997,2,1,39.200000000000003]
[52,"Female",43,459,1,1,34.200000000000003]
[53,"Female",56,517,1,2,35.200000000000003]
[54,"Female",77,340,1,2,34]
[55,"Female",44,517,2,2,37.200000000000003]
[56,"Female",76,165,2,1,35.4]
[57,"Female",76,586,2,1,47.2]
[58,"Female",43,340,2,1,34.299999999999997]
[59,"Female",23,340,2,2,34.799999999999997]
[60,"Male",77,223,1,2,35.9]
[61,"Male",65,410,1,2,34.9]
[62,"Male",43,140,1,1,35.9]
[63,"Male",65,586,1,1,36.799999999999997]
[64,"Female",34,60,2,1,45.2]
[65,"Male",23,886,1,2,35]
[66,"Male",54,110,2,2,35.5]
[67,"Female",65,199,1,1,42.1]
[68,"Male",44,91,2,1,39.1]
[69,"Male",76,419,2,2,62.6]
[70,"Male",64,191,2,2,35.4]
[71,"Female",77,410,1,1,46.8]
[72,"Female",66,152,1,1,35]
[73,"Female",43,583,1,1,34.799999999999997]
[74,"Female",40,415,2,2,40.5]
[75,"Female",20,704,2,2,37.1]
[76,"Female",33,192,2,2,35.700000000000003]
[77,"Female",42,51,1,1,35.9]
[78,"Female",66,44,1,1,37.200000000000003]
[79,"Female",54,44,1,1,34.799999999999997]
[80,"Female",43,517,2,2,49.4]
[81,"Male",55,219,1,1,39.9]
[82,"Female",32,310,2,2,43.9]
[83,"Male",77,174,1,1,71.900000000000006]
[84,"Female",43,517,1,2,34.299999999999997]
[85,"Female",24,410,2,2,35]
[86,"Female",34,997,1,1,37.200000000000003]
[87,"Female",64,291,2,1,46.6]
[88,"Female",43,340,2,2,46.1]
[89,"Male",77,75,2,1,36.200000000000003]
[90,"Female",34,222,1,1,36.6]
[91,"Male",64,586,1,2,41.6]
[92,"Male",48,419,2,2,37.299999999999997]
[93,"Male",54,200,1,1,34.700000000000003]
[94,"Female",56,738,1,1,34.9]
[95,"Female",43,586,1,1,37.1]
[96,"Female",36,310,2,1,43.6]
[97,"Female",40,291,2,2,38.299999999999997]
[98,"Female",42,340,1,2,38.1]
[99,"Male",56,410,2,2,40]
[100,"Female",23,219,1,2,35.200000000000003]

{"sheet":"Ethnicity Data","index":20,"n_rows":102,"n_cols":5,"rows_kept":102,"cut":false,"hidden":false,"merged":[]}
["IDN","ETHNICITY",null,"TOC","DATA TO BE ADDED TO EDITED FILE"]
[1,"Other",null,"Unmerge all cells, do a CTRL A or hit the top left cell to highlight worksheet.","FICTICIOUS DATA!!"]
[2,"Japanese",null,"Freeze Panes so that you can Scroll (Tip - Under View)."]
[3,"Other",null,"Check duplicates of individuals - by color coding (Tip - Under Conditional Formatting, Highlight Cells Rules)."]
[4,"Native Hawaiian/Part",null,"Filter columns - Highlight columns and hit filter (Under Data, Sort And Filter)."]
[5,"White",null,"Check values by clicking on the filter icon for each column individually; look for character values in a numeric variable and vice versa, look for mistakes in coding, look for blank values."]
[6,"Other",null,"Replace cells that are empty with a . (Period) If numeric data or a space if text data."]
[7,"White",null,"Combine the RURAL and URBAN columns into one column with URBAN = 1 and RURAL = 2."]
[8,"Japanese",null,"Attempt to fill In missing data with valid data."]
[9,"Other"]
[10,"Native Hawaiian/Part"]
[11,"Japanese"]
[12,"Native Hawaiian/Part"]
[13,"Japanese"]
[14,"White"]
[15,"White"]
[16,"Japanese"]
[17,"Filipino"]
[18,"White"]
[19,"Other"]
[20,"White"]
[21,"Native Hawaiian/Part"]
[22,"Other"]
[23,"Other"]
[24,"White"]
[25,"Japanese"]
[26," "]
[27,"Japanese"]
[28,"Native Hawaiian/Part"]
[29,"Japanese"]
[30,"Other"]
[31,"Japanese"]
[32,"Other"]
[33,"Filipino"]
[34,"Other"]
[35,"Japanese"]
[36,"Japanese"]
[37,"White"]
[38,"White"]
[39,"Native Hawaiian/Part"]
[40,"Japanese"]
[41,"Filipino"]
[42,"White"]
[42,"Native Hawaiian/Part"]
[43,"White"]
[44,"Filipino"]
[45,"Other"]
[46,"Unknown"]
[47,"Japanese"]
[48,"Filipino"]
[49,"White"]
[50,"Other"]
[51,"Japanese"]
[52,"Other"]
[53,"White"]
[54,"Japanese"]
[55,"White"]
[56,"Other"]
[57,"White"]
[58,"Other"]
[59,"Native Hawaiian/Part"]
[60,"Other"]
[61,"Native Hawaiian/Part"]
[62,"Native Hawaiian/Part"]
[63,"Japanese"]
[64,"Japanese"]
[65,"Native Hawaiian/Part"]
[66,"Japanese"]
[67,"Other"]
[68,"Filipino"]
[69,"Japanese"]
[70,"Native Hawaiian/Part"]
[71,"Filipino"]
[72,"Other"]
[73,"Other"]
[74,"Other"]
[75,"Other"]
[76,"Native Hawaiian/Part"]
[77,"Other"]
[78,"Japanese"]
[79,"Native Hawaiian/Part"]
[80,"Native Hawaiian/Part"]
[81,"Other"]
[82,"White"]
[83,"White"]
[84,"Filipino"]
[85,"Japanese"]
[86,"White"]
[87,"Native Hawaiian/Part"]
[88,"Japanese"]
[89,"Filipino"]
[90,"Japanese"]
[91,"White"]
[92,"Filipino"]
[93,"Other"]
[94,"White"]
[95,"White"]
[96,"Other"]
[97,"Native Hawaiian/Part"]
[98,"Other"]
[99,"Japanese"]
[100,"Other"]

{"sheet":"Steps Combining Worksheets","index":21,"n_rows":14,"n_cols":6,"rows_kept":14,"cut":false,"hidden":false,"merged":[]}
[]
[null,null,"Data - Planning, Editing, and Formatting with Excel - Combining Worksheets with a Common Variable, IDN in the Example",null,null,"TOC"]
[]
[null,null,"STEPS"]
[null,null,1,"INPUT THE THE FIRST EXAMPLE WORKSHEET, INCLUDING THE HEADERS"]
[null,null,null," =example!A1      =example!B1"]
[null,null,null,"After the = sign input the name of the worksheet followed by a ! Then a cell reference."]
[null,null,null,"If the name has a space in it enclose the worksheet name by a single quote '  or change the name of the worksheet."]
[null,null,2,"You can enter the formula then click on the lower right corner of the cell on a small square box to "]
[null,null,null,"get a crosshatch icon then drag and drop the contents  into other cells."]
[null,null,3,"INPUT THE IDN OF BOTH WORKSHEETS TO MAKE SURE THE IDN'S MATCH"]
[null,null,null," =example!A1      =ethnicity!A1"]
[null,null,4,"In the last column you can enter the header and data from the ethnicity worksheet."]
[null,null,null," = ethnicity!B1"]

{"sheet":"Combined Example 1","index":22,"n_rows":101,"n_cols":13,"rows_kept":101,"cut":false,"hidden":false,"merged":[]}
[{"$f":"'Edited File'!A1","v":"IDN"},{"$f":"'Edited File'!B1","v":"GENDER"},{"$f":"'Edited File'!C1","v":"AGE"},{"$f":"'Edited File'!D1","v":"POVERTY_VALUE"},{"$f":"'Edited File'!E1","v":"MARITAL_STATUS"},{"$f":"'Edited File'!F1","v":"URBAN_RURAL"},{"$f":"'Edited File'!G1","v":"BMI"},"COPY AND PASTE DATA FROM THE ETHNICITY FILE OR USE FORMULAS FOR ETHNICITY DATA TO THE RIGHT",{"$f":"'Ethnicity Data'!A1","v":"IDN"},{"$f":"'Ethnicity Data'!B1","v":"ETHNICITY"},"CHECKING IDN TO SEE IF THE SAME IN BOTH FILES, TAKE OUT SPACE IN FRONT OF THE =","check IDN","TOC"]
[{"$f":"'Edited File'!A2","v":1},{"$f":"'Edited File'!B2","v":"Female"},{"$f":"'Edited File'!C2","v":34},{"$f":"'Edited File'!D2","v":133},{"$f":"'Edited File'!E2","v":2},{"$f":"'Edited File'!F2","v":1},{"$f":"'Edited File'!G2","v":39.1},null," ='Ethnicity Data'!A2"," ='Ethnicity Data'!B2"," =A2=I2",{"$f":"A2=I2","v":false},"METHOD ONE"]
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[{"$f":"'Edited File'!A35","v":34},{"$f":"'Edited File'!B35","v":"Female"},{"$f":"'Edited File'!C35","v":54},{"$f":"'Edited File'!D35","v":538},{"$f":"'Edited File'!E35","v":1},{"$f":"'Edited File'!F35","v":1},{"$f":"'Edited File'!G35","v":37.799999999999997},null,{"$f":"'Ethnicity Data'!A35","v":34},{"$f":"'Ethnicity Data'!B35","v":"Other"},null,true]
[{"$f":"'Edited File'!A36","v":35},{"$f":"'Edited File'!B36","v":"Male"},{"$f":"'Edited File'!C36","v":78},{"$f":"'Edited File'!D36","v":586},{"$f":"'Edited File'!E36","v":2},{"$f":"'Edited File'!F36","v":1},{"$f":"'Edited File'!G36","v":36},null,{"$f":"'Ethnicity Data'!A36","v":35},{"$f":"'Ethnicity Data'!B36","v":"Japanese"},null,true]
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[{"$f":"'Edited File'!A39","v":38},{"$f":"'Edited File'!B39","v":"Female"},{"$f":"'Edited File'!C39","v":22},{"$f":"'Edited File'!D39","v":399},{"$f":"'Edited File'!E39","v":1},{"$f":"'Edited File'!F39","v":2},{"$f":"'Edited File'!G39","v":45.6},null,{"$f":"'Ethnicity Data'!A39","v":38},{"$f":"'Ethnicity Data'!B39","v":"White"},null,true]
[{"$f":"'Edited File'!A40","v":39},{"$f":"'Edited File'!B40","v":"Female"},{"$f":"'Edited File'!C40","v":45},{"$f":"'Edited File'!D40","v":141},{"$f":"'Edited File'!E40","v":2},{"$f":"'Edited File'!F40","v":2},{"$f":"'Edited File'!G40","v":35.799999999999997},null,{"$f":"'Ethnicity Data'!A40","v":39},{"$f":"'Ethnicity Data'!B40","v":"Native Hawaiian/Part"},null,true]
[{"$f":"'Edited File'!A41","v":40},{"$f":"'Edited File'!B41","v":"Male"},{"$f":"'Edited File'!C41","v":33},{"$f":"'Edited File'!D41","v":125},{"$f":"'Edited File'!E41","v":2},{"$f":"'Edited File'!F41","v":2},{"$f":"'Edited File'!G41","v":36.9},null,{"$f":"'Ethnicity Data'!A41","v":40},{"$f":"'Ethnicity Data'!B41","v":"Japanese"},null,true]
[{"$f":"'Edited File'!A42","v":41},{"$f":"'Edited File'!B42","v":"Female"},{"$f":"'Edited File'!C42","v":32},{"$f":"'Edited File'!D42","v":586},{"$f":"'Edited File'!E42","v":1},{"$f":"'Edited File'!F42","v":1},{"$f":"'Edited File'!G42","v":35.4},null,{"$f":"'Ethnicity Data'!A42","v":41},{"$f":"'Ethnicity Data'!B42","v":"Filipino"},null,true]
[{"$f":"'Edited File'!A43","v":42},{"$f":"'Edited File'!B43","v":"Female"},{"$f":"'Edited File'!C43","v":54},{"$f":"'Edited File'!D43","v":415},{"$f":"'Edited File'!E43","v":1},{"$f":"'Edited File'!F43","v":1},{"$f":"'Edited File'!G43","v":34.700000000000003},null,{"$f":"'Ethnicity Data'!A43","v":42},{"$f":"'Ethnicity Data'!B43","v":"White"},null,true]
[{"$f":"'Edited File'!A44","v":43},{"$f":"'Edited File'!B44","v":"Female"},{"$f":"'Edited File'!C44","v":43},{"$f":"'Edited File'!D44","v":586},{"$f":"'Edited File'!E44","v":1},{"$f":"'Edited File'!F44","v":2},{"$f":"'Edited File'!G44","v":35},null,{"$f":"'Ethnicity Data'!A44","v":42},{"$f":"'Ethnicity Data'!B44","v":"Native Hawaiian/Part"},null,false,"PLEASE CORRECT ERROR IF PRESENT"]
[{"$f":"'Edited File'!A45","v":44},{"$f":"'Edited File'!B45","v":"Female"},{"$f":"'Edited File'!C45","v":55},{"$f":"'Edited File'!D45","v":152},{"$f":"'Edited File'!E45","v":2},{"$f":"'Edited File'!F45","v":2},{"$f":"'Edited File'!G45","v":37.4},null,{"$f":"'Ethnicity Data'!A45","v":43},{"$f":"'Ethnicity Data'!B45","v":"White"},null,false,"IF ETHNICITY FILE EDITED FOR ERROR THE LEFT"]
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{"sheet":"Combined Example 2","index":23,"n_rows":101,"n_cols":11,"rows_kept":101,"cut":false,"hidden":false,"merged":[[1,10,15,10]]}
[{"$f":"'Edited File'!A1","v":"IDN"},{"$f":"'Edited File'!B1","v":"GENDER"},{"$f":"'Edited File'!C1","v":"AGE"},{"$f":"'Edited File'!D1","v":"POVERTY_VALUE"},{"$f":"'Edited File'!E1","v":"MARITAL_STATUS"},{"$f":"'Edited File'!F1","v":"URBAN_RURAL"},{"$f":"'Edited File'!G1","v":"BMI"},{"$f":"IF('Edited File'!A1='Ethnicity Data'!A1,'Ethnicity Data'!B1,\"FALSE\")","v":"ETHNICITY"},null,"TOC","METHOD TWO"]
[{"$f":"'Edited File'!A2","v":1},{"$f":"'Edited File'!B2","v":"Female"},{"$f":"'Edited File'!C2","v":34},{"$f":"'Edited File'!D2","v":133},{"$f":"'Edited File'!E2","v":2},{"$f":"'Edited File'!F2","v":1},{"$f":"'Edited File'!G2","v":39.1},{"$f":"IF('Edited File'!A2='Ethnicity Data'!A2,'Ethnicity Data'!B2,\"FALSE\")","v":"Other"},null,null,"The data are input by formula from the worksheet Edited Data.  The ethnicity is added by a formula pointing to the data on the ethnicity worksheet and comparing the IDN's, if they match the ethnicity is pasted if they don't FALSE is pasted.  Where is the error in the ethnicity datasheet?"]
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[{"$f":"'Edited File'!A4","v":3},{"$f":"'Edited File'!B4","v":"Female"},{"$f":"'Edited File'!C4","v":73},{"$f":"'Edited File'!D4","v":75},{"$f":"'Edited File'!E4","v":1},{"$f":"'Edited File'!F4","v":1},{"$f":"'Edited File'!G4","v":34.799999999999997},{"$f":"IF('Edited File'!A4='Ethnicity Data'!A4,'Ethnicity Data'!B4,\"FALSE\")","v":"Other"}]
[{"$f":"'Edited File'!A5","v":4},{"$f":"'Edited File'!B5","v":"Male"},{"$f":"'Edited File'!C5","v":42},{"$f":"'Edited File'!D5","v":738},{"$f":"'Edited File'!E5","v":1},{"$f":"'Edited File'!F5","v":2},{"$f":"'Edited File'!G5","v":34.5},{"$f":"IF('Edited File'!A5='Ethnicity Data'!A5,'Ethnicity Data'!B5,\"FALSE\")","v":"Native Hawaiian/Part"}]
[{"$f":"'Edited File'!A6","v":5},{"$f":"'Edited File'!B6","v":"Female"},{"$f":"'Edited File'!C6","v":55},{"$f":"'Edited File'!D6","v":192},{"$f":"'Edited File'!E6","v":2},{"$f":"'Edited File'!F6","v":1},{"$f":"'Edited File'!G6","v":38},{"$f":"IF('Edited File'!A6='Ethnicity Data'!A6,'Ethnicity Data'!B6,\"FALSE\")","v":"White"}]
[{"$f":"'Edited File'!A7","v":6},{"$f":"'Edited File'!B7","v":"Female"},{"$f":"'Edited File'!C7","v":67},{"$f":"'Edited File'!D7","v":399},{"$f":"'Edited File'!E7","v":2},{"$f":"'Edited File'!F7","v":2},{"$f":"'Edited File'!G7","v":34.299999999999997},{"$f":"IF('Edited File'!A7='Ethnicity Data'!A7,'Ethnicity Data'!B7,\"FALSE\")","v":"Other"}]
[{"$f":"'Edited File'!A8","v":7},{"$f":"'Edited File'!B8","v":"Male"},{"$f":"'Edited File'!C8","v":23},{"$f":"'Edited File'!D8","v":281},{"$f":"'Edited File'!E8","v":2},{"$f":"'Edited File'!F8","v":1},{"$f":"'Edited File'!G8","v":40.200000000000003},{"$f":"IF('Edited File'!A8='Ethnicity Data'!A8,'Ethnicity Data'!B8,\"FALSE\")","v":"White"}]
[{"$f":"'Edited File'!A9","v":8},{"$f":"'Edited File'!B9","v":"Male"},{"$f":"'Edited File'!C9","v":72},{"$f":"'Edited File'!D9","v":340},{"$f":"'Edited File'!E9","v":1},{"$f":"'Edited File'!F9","v":2},{"$f":"'Edited File'!G9","v":38.4},{"$f":"IF('Edited File'!A9='Ethnicity Data'!A9,'Ethnicity Data'!B9,\"FALSE\")","v":"Japanese"}]
[{"$f":"'Edited File'!A10","v":9},{"$f":"'Edited File'!B10","v":"Male"},{"$f":"'Edited File'!C10","v":43},{"$f":"'Edited File'!D10","v":174},{"$f":"'Edited File'!E10","v":1},{"$f":"'Edited File'!F10","v":1},{"$f":"'Edited File'!G10","v":38.799999999999997},{"$f":"IF('Edited File'!A10='Ethnicity Data'!A10,'Ethnicity Data'!B10,\"FALSE\")","v":"Other"}]
[{"$f":"'Edited File'!A11","v":10},{"$f":"'Edited File'!B11","v":"Female"},{"$f":"'Edited File'!C11","v":54},{"$f":"'Edited File'!D11","v":997},{"$f":"'Edited File'!E11","v":2},{"$f":"'Edited File'!F11","v":2},{"$f":"'Edited File'!G11","v":35.5},{"$f":"IF('Edited File'!A11='Ethnicity Data'!A11,'Ethnicity Data'!B11,\"FALSE\")","v":"Native Hawaiian/Part"}]
[{"$f":"'Edited File'!A12","v":11},{"$f":"'Edited File'!B12","v":"Female"},{"$f":"'Edited File'!C12","v":66},{"$f":"'Edited File'!D12","v":738},{"$f":"'Edited File'!E12","v":2},{"$f":"'Edited File'!F12","v":1},{"$f":"'Edited File'!G12","v":38.6},{"$f":"IF('Edited File'!A12='Ethnicity Data'!A12,'Ethnicity Data'!B12,\"FALSE\")","v":"Japanese"}]
[{"$f":"'Edited File'!A13","v":12},{"$f":"'Edited File'!B13","v":"Female"},{"$f":"'Edited File'!C13","v":75},{"$f":"'Edited File'!D13","v":133},{"$f":"'Edited File'!E13","v":2},{"$f":"'Edited File'!F13","v":1},{"$f":"'Edited File'!G13","v":39.200000000000003},{"$f":"IF('Edited File'!A13='Ethnicity Data'!A13,'Ethnicity Data'!B13,\"FALSE\")","v":"Native Hawaiian/Part"}]
[{"$f":"'Edited File'!A14","v":13},{"$f":"'Edited File'!B14","v":"Male"},{"$f":"'Edited File'!C14","v":23},{"$f":"'Edited File'!D14","v":379},{"$f":"'Edited File'!E14","v":1},{"$f":"'Edited File'!F14","v":1},{"$f":"'Edited File'!G14","v":36.5},{"$f":"IF('Edited File'!A14='Ethnicity Data'!A14,'Ethnicity Data'!B14,\"FALSE\")","v":"Japanese"}]
[{"$f":"'Edited File'!A15","v":14},{"$f":"'Edited File'!B15","v":"Male"},{"$f":"'Edited File'!C15","v":44},{"$f":"'Edited File'!D15","v":738},{"$f":"'Edited File'!E15","v":1},{"$f":"'Edited File'!F15","v":2},{"$f":"'Edited File'!G15","v":36.6},{"$f":"IF('Edited File'!A15='Ethnicity Data'!A15,'Ethnicity Data'!B15,\"FALSE\")","v":"White"}]
[{"$f":"'Edited File'!A16","v":15},{"$f":"'Edited File'!B16","v":"Female"},{"$f":"'Edited File'!C16","v":73},{"$f":"'Edited File'!D16","v":498},{"$f":"'Edited File'!E16","v":1},{"$f":"'Edited File'!F16","v":1},{"$f":"'Edited File'!G16","v":36.799999999999997},{"$f":"IF('Edited File'!A16='Ethnicity Data'!A16,'Ethnicity Data'!B16,\"FALSE\")","v":"White"}]
[{"$f":"'Edited File'!A17","v":16},{"$f":"'Edited File'!B17","v":"Male"},{"$f":"'Edited File'!C17","v":23},{"$f":"'Edited File'!D17","v":340},{"$f":"'Edited File'!E17","v":1},{"$f":"'Edited File'!F17","v":2},{"$f":"'Edited File'!G17","v":41.1},{"$f":"IF('Edited File'!A17='Ethnicity Data'!A17,'Ethnicity Data'!B17,\"FALSE\")","v":"Japanese"}]
[{"$f":"'Edited File'!A18","v":17},{"$f":"'Edited File'!B18","v":"Male"},{"$f":"'Edited File'!C18","v":64},{"$f":"'Edited File'!D18","v":415},{"$f":"'Edited File'!E18","v":2},{"$f":"'Edited File'!F18","v":2},{"$f":"'Edited File'!G18","v":34.5},{"$f":"IF('Edited File'!A18='Ethnicity Data'!A18,'Ethnicity Data'!B18,\"FALSE\")","v":"Filipino"}]
[{"$f":"'Edited File'!A19","v":18},{"$f":"'Edited File'!B19","v":"Female"},{"$f":"'Edited File'!C19","v":54},{"$f":"'Edited File'!D19","v":202},{"$f":"'Edited File'!E19","v":1},{"$f":"'Edited File'!F19","v":2},{"$f":"'Edited File'!G19","v":35.200000000000003},{"$f":"IF('Edited File'!A19='Ethnicity Data'!A19,'Ethnicity Data'!B19,\"FALSE\")","v":"White"}]
[{"$f":"'Edited File'!A20","v":19},{"$f":"'Edited File'!B20","v":"Male"},{"$f":"'Edited File'!C20","v":23},{"$f":"'Edited File'!D20","v":459},{"$f":"'Edited File'!E20","v":2},{"$f":"'Edited File'!F20","v":1},{"$f":"'Edited File'!G20","v":37.4},{"$f":"IF('Edited File'!A20='Ethnicity Data'!A20,'Ethnicity Data'!B20,\"FALSE\")","v":"Other"}]
[{"$f":"'Edited File'!A21","v":20},{"$f":"'Edited File'!B21","v":"Male"},{"$f":"'Edited File'!C21","v":45},{"$f":"'Edited File'!D21","v":310},{"$f":"'Edited File'!E21","v":1},{"$f":"'Edited File'!F21","v":1},{"$f":"'Edited File'!G21","v":38},{"$f":"IF('Edited File'!A21='Ethnicity Data'!A21,'Ethnicity Data'!B21,\"FALSE\")","v":"White"}]
[{"$f":"'Edited File'!A22","v":21},{"$f":"'Edited File'!B22","v":"Female"},{"$f":"'Edited File'!C22","v":55},{"$f":"'Edited File'!D22","v":486},{"$f":"'Edited File'!E22","v":1},{"$f":"'Edited File'!F22","v":2},{"$f":"'Edited File'!G22","v":36.4},{"$f":"IF('Edited File'!A22='Ethnicity Data'!A22,'Ethnicity Data'!B22,\"FALSE\")","v":"Native Hawaiian/Part"}]
[{"$f":"'Edited File'!A23","v":22},{"$f":"'Edited File'!B23","v":"Female"},{"$f":"'Edited File'!C23","v":34},{"$f":"'Edited File'!D23","v":192},{"$f":"'Edited File'!E23","v":1},{"$f":"'Edited File'!F23","v":1},{"$f":"'Edited File'!G23","v":38.4},{"$f":"IF('Edited File'!A23='Ethnicity Data'!A23,'Ethnicity Data'!B23,\"FALSE\")","v":"Other"}]
[{"$f":"'Edited File'!A24","v":23},{"$f":"'Edited File'!B24","v":"Male"},{"$f":"'Edited File'!C24","v":34},{"$f":"'Edited File'!D24","v":82},{"$f":"'Edited File'!E24","v":2},{"$f":"'Edited File'!F24","v":2},{"$f":"'Edited File'!G24","v":44.3},{"$f":"IF('Edited File'!A24='Ethnicity Data'!A24,'Ethnicity Data'!B24,\"FALSE\")","v":"Other"}]
[{"$f":"'Edited File'!A25","v":24},{"$f":"'Edited File'!B25","v":"Female"},{"$f":"'Edited File'!C25","v":65},{"$f":"'Edited File'!D25","v":340},{"$f":"'Edited File'!E25","v":2},{"$f":"'Edited File'!F25","v":2},{"$f":"'Edited File'!G25","v":36},{"$f":"IF('Edited File'!A25='Ethnicity Data'!A25,'Ethnicity Data'!B25,\"FALSE\")","v":"White"}]
[{"$f":"'Edited File'!A26","v":25},{"$f":"'Edited File'!B26","v":"Male"},{"$f":"'Edited File'!C26","v":45},{"$f":"'Edited File'!D26","v":74},{"$f":"'Edited File'!E26","v":1},{"$f":"'Edited File'!F26","v":2},{"$f":"'Edited File'!G26","v":49.9},{"$f":"IF('Edited File'!A26='Ethnicity Data'!A26,'Ethnicity Data'!B26,\"FALSE\")","v":"Japanese"}]
[{"$f":"'Edited File'!A27","v":26},{"$f":"'Edited File'!B27","v":"Female"},{"$f":"'Edited File'!C27","v":44},{"$f":"'Edited File'!D27","v":281},{"$f":"'Edited File'!E27","v":1},{"$f":"'Edited File'!F27","v":1},{"$f":"'Edited File'!G27","v":34.200000000000003},{"$f":"IF('Edited File'!A27='Ethnicity Data'!A27,'Ethnicity Data'!B27,\"FALSE\")","v":" "}]
[{"$f":"'Edited File'!A28","v":27},{"$f":"'Edited File'!B28","v":"Female"},{"$f":"'Edited File'!C28","v":33},{"$f":"'Edited File'!D28","v":94},{"$f":"'Edited File'!E28","v":2},{"$f":"'Edited File'!F28","v":1},{"$f":"'Edited File'!G28","v":41},{"$f":"IF('Edited File'!A28='Ethnicity Data'!A28,'Ethnicity Data'!B28,\"FALSE\")","v":"Japanese"}]
[{"$f":"'Edited File'!A29","v":28},{"$f":"'Edited File'!B29","v":"Female"},{"$f":"'Edited File'!C29","v":66},{"$f":"'Edited File'!D29","v":459},{"$f":"'Edited File'!E29","v":2},{"$f":"'Edited File'!F29","v":2},{"$f":"'Edited File'!G29","v":34.1},{"$f":"IF('Edited File'!A29='Ethnicity Data'!A29,'Ethnicity Data'!B29,\"FALSE\")","v":"Native Hawaiian/Part"}]
[{"$f":"'Edited File'!A30","v":29},{"$f":"'Edited File'!B30","v":"Female"},{"$f":"'Edited File'!C30","v":43},{"$f":"'Edited File'!D30","v":340},{"$f":"'Edited File'!E30","v":2},{"$f":"'Edited File'!F30","v":2},{"$f":"'Edited File'!G30","v":38.799999999999997},{"$f":"IF('Edited File'!A30='Ethnicity Data'!A30,'Ethnicity Data'!B30,\"FALSE\")","v":"Japanese"}]
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[{"$f":"'Edited File'!A34","v":33},{"$f":"'Edited File'!B34","v":"Female"},{"$f":"'Edited File'!C34","v":34},{"$f":"'Edited File'!D34","v":399},{"$f":"'Edited File'!E34","v":2},{"$f":"'Edited File'!F34","v":1},{"$f":"'Edited File'!G34","v":35.9},{"$f":"IF('Edited File'!A34='Ethnicity Data'!A34,'Ethnicity Data'!B34,\"FALSE\")","v":"Filipino"}]
[{"$f":"'Edited File'!A35","v":34},{"$f":"'Edited File'!B35","v":"Female"},{"$f":"'Edited File'!C35","v":54},{"$f":"'Edited File'!D35","v":538},{"$f":"'Edited File'!E35","v":1},{"$f":"'Edited File'!F35","v":1},{"$f":"'Edited File'!G35","v":37.799999999999997},{"$f":"IF('Edited File'!A35='Ethnicity Data'!A35,'Ethnicity Data'!B35,\"FALSE\")","v":"Other"}]
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[{"$f":"'Edited File'!A40","v":39},{"$f":"'Edited File'!B40","v":"Female"},{"$f":"'Edited File'!C40","v":45},{"$f":"'Edited File'!D40","v":141},{"$f":"'Edited File'!E40","v":2},{"$f":"'Edited File'!F40","v":2},{"$f":"'Edited File'!G40","v":35.799999999999997},{"$f":"IF('Edited File'!A40='Ethnicity Data'!A40,'Ethnicity Data'!B40,\"FALSE\")","v":"Native Hawaiian/Part"}]
[{"$f":"'Edited File'!A41","v":40},{"$f":"'Edited File'!B41","v":"Male"},{"$f":"'Edited File'!C41","v":33},{"$f":"'Edited File'!D41","v":125},{"$f":"'Edited File'!E41","v":2},{"$f":"'Edited File'!F41","v":2},{"$f":"'Edited File'!G41","v":36.9},{"$f":"IF('Edited File'!A41='Ethnicity Data'!A41,'Ethnicity Data'!B41,\"FALSE\")","v":"Japanese"}]
[{"$f":"'Edited File'!A42","v":41},{"$f":"'Edited File'!B42","v":"Female"},{"$f":"'Edited File'!C42","v":32},{"$f":"'Edited File'!D42","v":586},{"$f":"'Edited File'!E42","v":1},{"$f":"'Edited File'!F42","v":1},{"$f":"'Edited File'!G42","v":35.4},{"$f":"IF('Edited File'!A42='Ethnicity Data'!A42,'Ethnicity Data'!B42,\"FALSE\")","v":"Filipino"}]
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[{"$f":"'Edited File'!A96","v":95},{"$f":"'Edited File'!B96","v":"Female"},{"$f":"'Edited File'!C96","v":43},{"$f":"'Edited File'!D96","v":586},{"$f":"'Edited File'!E96","v":1},{"$f":"'Edited File'!F96","v":1},{"$f":"'Edited File'!G96","v":37.1},{"$f":"IF('Edited File'!A96='Ethnicity Data'!A96,'Ethnicity Data'!B96,\"FALSE\")","v":"FALSE"}]
[{"$f":"'Edited File'!A97","v":96},{"$f":"'Edited File'!B97","v":"Female"},{"$f":"'Edited File'!C97","v":36},{"$f":"'Edited File'!D97","v":310},{"$f":"'Edited File'!E97","v":2},{"$f":"'Edited File'!F97","v":1},{"$f":"'Edited File'!G97","v":43.6},{"$f":"IF('Edited File'!A97='Ethnicity Data'!A97,'Ethnicity Data'!B97,\"FALSE\")","v":"FALSE"}]
[{"$f":"'Edited File'!A98","v":97},{"$f":"'Edited File'!B98","v":"Female"},{"$f":"'Edited File'!C98","v":40},{"$f":"'Edited File'!D98","v":291},{"$f":"'Edited File'!E98","v":2},{"$f":"'Edited File'!F98","v":2},{"$f":"'Edited File'!G98","v":38.299999999999997},{"$f":"IF('Edited File'!A98='Ethnicity Data'!A98,'Ethnicity Data'!B98,\"FALSE\")","v":"FALSE"}]
[{"$f":"'Edited File'!A99","v":98},{"$f":"'Edited File'!B99","v":"Female"},{"$f":"'Edited File'!C99","v":42},{"$f":"'Edited File'!D99","v":340},{"$f":"'Edited File'!E99","v":1},{"$f":"'Edited File'!F99","v":2},{"$f":"'Edited File'!G99","v":38.1},{"$f":"IF('Edited File'!A99='Ethnicity Data'!A99,'Ethnicity Data'!B99,\"FALSE\")","v":"FALSE"}]
[{"$f":"'Edited File'!A100","v":99},{"$f":"'Edited File'!B100","v":"Male"},{"$f":"'Edited File'!C100","v":56},{"$f":"'Edited File'!D100","v":410},{"$f":"'Edited File'!E100","v":2},{"$f":"'Edited File'!F100","v":2},{"$f":"'Edited File'!G100","v":40},{"$f":"IF('Edited File'!A100='Ethnicity Data'!A100,'Ethnicity Data'!B100,\"FALSE\")","v":"FALSE"}]
[{"$f":"'Edited File'!A101","v":100},{"$f":"'Edited File'!B101","v":"Female"},{"$f":"'Edited File'!C101","v":23},{"$f":"'Edited File'!D101","v":219},{"$f":"'Edited File'!E101","v":1},{"$f":"'Edited File'!F101","v":2},{"$f":"'Edited File'!G101","v":35.200000000000003},{"$f":"IF('Edited File'!A101='Ethnicity Data'!A101,'Ethnicity Data'!B101,\"FALSE\")","v":"FALSE"}]

{"sheet":"FINAL","index":24,"n_rows":101,"n_cols":10,"rows_kept":101,"cut":false,"hidden":false,"merged":[[4,9,7,10]]}
["IDN","GENDER","AGE","POVERTY_VALUE","MARITAL_STATUS","URBAN_RURAL","BMI","ETHNICITY"]
[1,"Female",34,133,2,1,39.1,"Other"]
[2,"Male",56,486,1,2,35,"Japanese",null,"TOC"]
[3,"Female",73,75,1,1,34.799999999999997,"Other"]
[4,"Male",42,738,1,2,34.5,"Native Hawaiian/Part",null,"You can also add  External Data to your file by clicking on an empty cell, go to DATA, and GET EXTERNAL DATA."]
[5,"Female",55,192,2,1,38,"White"]
[6,"Female",67,399,2,2,34.299999999999997,"Other"]
[7,"Male",23,281,2,1,40.200000000000003,"White"]
[8,"Male",72,340,1,2,38.4,"Japanese"]
[9,"Male",43,174,1,1,38.799999999999997,"Other"]
[10,"Female",54,997,2,2,35.5,"Native Hawaiian/Part"]
[11,"Female",66,738,2,1,38.6,"Japanese"]
[12,"Female",75,133,2,1,39.200000000000003,"Native Hawaiian/Part"]
[13,"Male",23,379,1,1,36.5,"Japanese"]
[14,"Male",44,738,1,2,36.6,"White"]
[15,"Female",73,498,1,1,36.799999999999997,"White"]
[16,"Male",23,340,1,2,41.1,"Japanese"]
[17,"Male",64,415,2,2,34.5,"Filipino"]
[18,"Female",54,202,1,2,35.200000000000003,"White"]
[19,"Male",23,459,2,1,37.4,"Other"]
[20,"Male",45,310,1,1,38,"White"]
[21,"Female",55,486,1,2,36.4,"Native Hawaiian/Part"]
[22,"Female",34,192,1,1,38.4,"Other"]
[23,"Male",34,82,2,2,44.3,"Other"]
[24,"Female",65,340,2,2,36,"White"]
[25,"Male",45,74,1,2,49.9,"Japanese"]
[26,"Female",44,281,1,1,34.200000000000003," "]
[27,"Female",33,94,2,1,41,"Japanese"]
[28,"Female",66,459,2,2,34.1,"Native Hawaiian/Part"]
[29,"Female",43,340,2,2,38.799999999999997,"Japanese"]
[30,"Female",55,162,1,1,36.799999999999997,"Other"]
[31,"Male",43,583,1,1,40.700000000000003,"Japanese"]
[32,"Female",56,583,1,1,34.200000000000003,"Other"]
[33,"Female",34,399,2,1,35.9,"Filipino"]
[34,"Female",54,538,1,1,37.799999999999997,"Other"]
[35,"Male",78,586,2,1,36,"Japanese"]
[36,"Male",25,225,2,1,40.700000000000003,"Japanese"]
[37,"Male",33,997,2,2,40.200000000000003,"White"]
[38,"Female",22,399,1,2,45.6,"White"]
[39,"Female",45,141,2,2,35.799999999999997,"Native Hawaiian/Part"]
[40,"Male",33,125,2,2,36.9,"Japanese"]
[41,"Female",32,586,1,1,35.4,"Filipino"]
[42,"Female",54,415,1,1,34.700000000000003,"Native Hawaiian/Part"]
[43,"Female",43,586,1,2,35,"White"]
[44,"Female",55,152,2,2,37.4,"Filipino"]
[45,"Female",77,586,1,1,40.4,"Other"]
[46,"Female",45,379,1,1,42.9,"Unknown"]
[47,"Female",32,103,2,1,61.8,"Japanese"]
[48,"Female",23,133,2,2,36.6,"Filipino"]
[49,"Female",44,315,2,2,40.4,"White"]
[50,"Female",54,65,2,2,35,"Other"]
[51,"Male",76,997,2,1,39.200000000000003,"Japanese"]
[52,"Female",43,459,1,1,34.200000000000003,"Other"]
[53,"Female",56,517,1,2,35.200000000000003,"White"]
[54,"Female",77,340,1,2,34,"Japanese"]
[55,"Female",44,517,2,2,37.200000000000003,"White"]
[56,"Female",76,165,2,1,35.4,"Other"]
[57,"Female",76,586,2,1,47.2,"White"]
[58,"Female",43,340,2,1,34.299999999999997,"Other"]
[59,"Female",23,340,2,2,34.799999999999997,"Native Hawaiian/Part"]
[60,"Male",77,223,1,2,35.9,"Other"]
[61,"Male",65,410,1,2,34.9,"Native Hawaiian/Part"]
[62,"Male",43,140,1,1,35.9,"Native Hawaiian/Part"]
[63,"Male",65,586,1,1,36.799999999999997,"Japanese"]
[64,"Female",34,60,2,1,45.2,"Japanese"]
[65,"Male",23,886,1,2,35,"Native Hawaiian/Part"]
[66,"Male",54,110,2,2,35.5,"Japanese"]
[67,"Female",65,199,1,1,42.1,"Other"]
[68,"Male",44,91,2,1,39.1,"Filipino"]
[69,"Male",76,419,2,2,62.6,"Japanese"]
[70,"Male",64,191,2,2,35.4,"Native Hawaiian/Part"]
[71,"Female",77,410,1,1,46.8,"Filipino"]
[72,"Female",66,152,1,1,35,"Other"]
[73,"Female",43,583,1,1,34.799999999999997,"Other"]
[74,"Female",40,415,2,2,40.5,"Other"]
[75,"Female",20,704,2,2,37.1,"Other"]
[76,"Female",33,192,2,2,35.700000000000003,"Native Hawaiian/Part"]
[77,"Female",42,51,1,1,35.9,"Other"]
[78,"Female",66,44,1,1,37.200000000000003,"Japanese"]
[79,"Female",54,44,1,1,34.799999999999997,"Native Hawaiian/Part"]
[80,"Female",43,517,2,2,49.4,"Native Hawaiian/Part"]
[81,"Male",55,219,1,1,39.9,"Other"]
[82,"Female",32,310,2,2,43.9,"White"]
[83,"Male",77,174,1,1,71.900000000000006,"White"]
[84,"Female",43,517,1,2,34.299999999999997,"Filipino"]
[85,"Female",24,410,2,2,35,"Japanese"]
[86,"Female",34,997,1,1,37.200000000000003,"White"]
[87,"Female",64,291,2,1,46.6,"Native Hawaiian/Part"]
[88,"Female",43,340,2,2,46.1,"Japanese"]
[89,"Male",77,75,2,1,36.200000000000003,"Filipino"]
[90,"Female",34,222,1,1,36.6,"Japanese"]
[91,"Male",64,586,1,2,41.6,"White"]
[92,"Male",48,419,2,2,37.299999999999997,"Filipino"]
[93,"Male",54,200,1,1,34.700000000000003,"Other"]
[94,"Female",56,738,1,1,34.9,"White"]
[95,"Female",43,586,1,1,37.1,"White"]
[96,"Female",36,310,2,1,43.6,"Other"]
[97,"Female",40,291,2,2,38.299999999999997,"Native Hawaiian/Part"]
[98,"Female",42,340,1,2,38.1,"Other"]
[99,"Male",56,410,2,2,40,"Japanese"]
[100,"Female",23,219,1,2,35.200000000000003,"Other"]

{"sheet":"Descriptive Statistics","index":25,"n_rows":24,"n_cols":6,"rows_kept":24,"cut":false,"hidden":false,"merged":[[4,3,4,4],[7,3,8,3],[15,3,17,3]]}
[]
[null,null,null,"Data - Plotting and Analysis with Excel",null,"TOC"]
[]
[null,null,null,"Study Types - Descriptive Statistics"]
[null,null,null,"In descriptive statistics study you are plotting and analyzing data from your sample data but not comparing statistics to a larger population from which it was drawn.  Or you may be analyzing a population where statistics are called parameters instead."]
[null,null,null,"A reminder: Statistics are indicated with Arabic letters and parameters with Greek  letters."]
[]
[null,null,null,"Excel offers at times multiple ways to perform the same test.  Please load the Analysis ToolPak depending on your computer.  Functions and formulas will be demonstrated prior to using the Analysis ToolPak",null,"Analysis ToolPak, PC"]
[null,null,null,null,null,"Analysis ToolPak MAC"]
[null,null,null,"1.  Do you have character or nominal variables?"]
[null,null,null,"1. A.  Plot your data either by highlighting the data and hitting INSERT and Recommended Charts or use the Pivot Chart.",null,"Describe and Plot "]
[null,null,null,null,null,"Pivot Table and Chart"]
[null,null,null,"2. B.  Do single variable summary tables and/or cross-tabulate tables of your variables.",null,"Describe and Plot "]
[null,null,null,"3. C.  An example of Odds Ratio and Relative Risk with Binary Variables (2 X 2 table)",null,"Odds, Rel. Risk"]
[]
[null,null,null,"\n2.   Continuous Variables  - Continuous Variables will form distributions*.  Plotting the values will give an indication of the type of distribution.  The most common distribution is the Normal or Bell Shaped Distribution.  You can plot and describe continuous values of a sample or population in Excel using the following methods.",null,"Distributions"]
[null,null,null,null,null,"Normal Curve"]
[]
[null,null,null,"2. A. Plotting data in a histogram (frequency distribution).",null,"Histogram"]
[null,null,null,"2. B. Calculating correlations between continuous variables using formulas/functions.",null,"Correlation"]
[null,null,null,"2. C. Inputting formulas/functions.",null,"One Series Formulas"]
[null,null,null,null,null,"Two Series Formulas"]
[null,null,null,"2. D.  Pivot Table.",null,"Pivot Table and Chart"]
[null,null,null,"* We will also be looking at the Chi-Square distribution for count variables."]

{"sheet":"Analysis ToolPak, PC","index":26,"n_rows":23,"n_cols":5,"rows_kept":23,"cut":false,"hidden":false,"merged":[[19,2,19,4],[21,2,21,4],[13,2,13,3],[15,2,15,3]]}
[]
[null,null,"Data - Plotting and Analysis with Excel - Analysis ToolPak",null,"TOC"]
[]
[null,null,"Load the Analysis ToolPak - PC"]
[]
[null,null,"Load and activate the Analysis ToolPak"]
[null,null,"1. Click the File tab, click Options, and then click the Add-Ins category."]
[null,null,"2. In the Manage box, select Excel Add-ins and then click Go."]
[null,null,"3. In the Add-Ins dialog box, select the Analysis ToolPak check box, and then click OK."]
[null,null,"If Analysis ToolPak is not listed in the Add-Ins available box, click Browse to locate it."]
[null,null,"If you are prompted that the Analysis ToolPak is not currently installed on your computer, click Yes to install it."]
[]
[null,null,"Choosing A Statistical Test - General Information"]
[null,null,"Sullivan L. How to Choose the Right Statistical Test for the Occasion.  BU School of Public Health. PowerPoint.  June 7, 2001.  "]
[null,null,null,"http://www.bu.edu/sph/practice/practice-resources/video-archive/how-to-choose-the-right-statistical-test-for-the-occasion/"]
[null,null,"Study design and choosing a statistical test.  BMJ 2017.  "]
[null,null,null,"http://www.bmj.com/about-bmj/resources-readers/publications/statistics-square-one/13-study-design-and-choosing-statisti"]
[null,null,"Barun KN, Hazra A.  2011.  How to choose the right statistical test?  Indian J Ophthalmol. 2011 Mar-Apr; 59(2): 85–86. "]
[null,null,null,"http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3116565/#CIT1"]
[null,null,"du Prel JB, Röhrig B,  Hommel G, Blettner M. IN: Part 12 of a Series on Evaluation of Scientific Publications.  Choosing Statistical Tests.  Dtsch Arztebl Int. 2010 May; 107(19): 343–348. "]
[null,null,null,"http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2881615/"]
[null,null,"Statistics in Medicine, Third Edition; Elsevier Inc.  2012.  ISBN: 978-0-12-384864-2."]
[null,null,null,"http://www.sciencedirect.com/science/book/9780123848642"]

{"sheet":"Analysis ToolPak MAC","index":27,"n_rows":19,"n_cols":5,"rows_kept":19,"cut":false,"hidden":false,"merged":[]}
[]
[null,null,"Data - Plotting and Analysis with Excel - Analysis ToolPak",null,"TOC"]
[]
[null,null,"The Analysis ToolPak is included in Excel 2016. Go to Tools > Excel Add-Ins to load it."]
[null,null,"Applies To: Excel for Mac 2011"]
[null,null,"https://support.office.com/en-us/article/I-can-t-find-the-Analysis-ToolPak-d678dc08-bdc2-4eda-8b94-08755fa4b55a "]
[null,null,"Excel 2011 does not include the Analysis ToolPak."]
[null,null,"There are a few third-party add-ins that provide Analysis ToolPak functions."]
[]
[null,null,"Option 1:    For Excel 2011 download the XLSTAT add-on statistical software for Mac."]
[]
[null,null,"1. Go to the XLSTAT download page. https://www.xlstat.com/en/"]
[]
[null,null,"2. For 30 days, you will have access to XLSTAT functions for 30 days after which you will be able to use the free version that includes the Analysis ToolPak functions or you can order one of the more complete solutions of XLSTAT."]
[]
[null,null,"Option 2:    Download StatPlus:mac LE for free from AnalystSoft, and then use StatPlus:mac LE with Excel 2011."]
[null,null,"Visit the AnalystSoft Web site, and then follow the instructions on the download page. http://www.analystsoft.com/en/"]
[]
[null,null,"Microsoft does not provide support for either product."]

{"sheet":"Describe and Plot ","index":28,"n_rows":67,"n_cols":6,"rows_kept":67,"cut":false,"hidden":false,"merged":[[48,3,48,5],[7,3,8,3],[7,4,8,4],[30,3,30,4],[39,3,39,4],[41,2,41,5],[42,2,43,2],[42,3,42,4],[42,5,43,5],[9,2,9,4],[14,3,14,5],[29,3,29,5],[32,2,32,5],[33,2,34,2],[33,3,33,4],[33,5,34,5]]}
[]
[null,null,"Data - Plotting and Analysis with Excel",null,null,"TOC"]
[]
[null,null,"FIRST DO A DESCRIPTIVE ANALYSIS AND PLOTTING OF ALL VARIABLES BEFORE GOING TO ADVANCED STATISTICAL OPTIONS "]
[]
[null,null,"STEPS USING EXCEL FUNCTIONS AND CHART OPTIONS TO ANALYZE CHARACTER VARIABLES"]
[null,null,"One Character Variable"]
[null,null,null,"Functions to summarize data.  The COUNTIF function counts the number of cells that contain FEMALE in this example.  NOTE: that FINAL refers to the FINAL datafile in this workbook.  Cell references have been used to point to the GENDER variable. The value of the variable to sum is in quotation marks.","Values using the formulas"]
[null,null,1]
[null,null,"TABLE OF GENDER COUNT - FUNCTIONS AND NUMBERS"]
[null,null,"Count Females"," =COUNTIF(FINAL!B2:B101,\"FEMALE\")",{"$f":"COUNTIF(FINAL!B2:B101,\"FEMALE\")","v":65}]
[null,null,"Count Males"," =COUNTIF(FINAL!B2:B101,\"MALE\")",{"$f":"COUNTIF(FINAL!B2:B101,\"MALE\")","v":35}]
[null,null,"TOTAL"," =SUM(E10:E11)",{"$f":"SUM(E11:E12)","v":100}]
[]
[null,null,2,"To create a Chart on this worksheet highlight the variables names (C10:C11) and the values (E10:E11) above while holding down the Ctrl key and click INSERT and Recommended Charts.  It will bring up the Recommended Chart as a pie chart (bar charts are also shown) or you can click on All Charts and choose a different type.  If you click on your chart it will bring up options in the ribbon under CHART TOOLS for the DESIGN and FORMAT of your chart.  By clicking on the DESIGN it will bring up more options in the ribbon for axes, changing the color scheme or chart type, and many more.  If you click on FORMAT under CHART TOOLS many options for formatting your chart are listed."]
[]
[]
[]
[null,null,null,null,"PIE CHART"]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,"Two Character Variables"]
[null,null,1,"To create a table and a chart on this worksheet of marital status and gender, use a similar procedure as above only use selecting multiple variables with the COUNTIFS function.  Column E refers to the MARITAL_STATUS variable in the FINAL data worksheet."]
[null,null,null,"Formulas"]
[]
[null,null,"TABLE OF GENDER AND MARITAL STATUS COUNT - FORMULAS"]
[null,null,"GENDER","MARITAL STATUS",null,"TOTAL"]
[null,null,null,"Count Married","Count Not Married"]
[null,null,"Count Females"," =COUNTIFS(FINAL!B2:B101,\"FEMALE\",FINAL!E2:E101,\"1\")"," =COUNTIFS(FINAL!B2:B101,\"FEMALE\",FINAL!E2:E101,\"2\")"," =SUM(D32:E32)"]
[null,null,"Count Males"," =COUNTIFS(FINAL!B2:B101,\"MALE\",FINAL!E2:E101,\"1\")"," =COUNTIFS(FINAL!B2:B101,\"MALE\",FINAL!E2:E101,\"2\")"," =SUM(D33:E33)"]
[null,null,"TOTAL"," =SUM(D32:D33)"," =SUM(E32:E33)"," =SUM(D34:E34)"]
[]
[null,null,null,"Values"]
[]
[null,null,"TABLE OF GENDER AND MARITAL STATUS COUNT - WITH NUMBERS"]
[null,null,"GENDER","MARITAL STATUS",null,"TOTAL"]
[null,null,null,"Married","Not Married"]
[null,null,"Count Females",{"$f":"COUNTIFS(FINAL!B2:B101,\"FEMALE\",FINAL!E2:E101,\"1\")","v":32},{"$f":"COUNTIFS(FINAL!B2:B101,\"FEMALE\",FINAL!E2:E101,\"2\")","v":33},{"$f":"SUM(D45:E45)","v":65}]
[null,null,"Count Males",{"$f":"COUNTIFS(FINAL!B2:B101,\"MALE\",FINAL!E2:E101,\"1\")","v":19},{"$f":"COUNTIFS(FINAL!B2:B101,\"MALE\",FINAL!E2:E101,\"2\")","v":16},{"$f":"SUM(D46:E46)","v":35}]
[null,null,"TOTAL",{"$f":"SUM(D45:D46)","v":51},{"$f":"SUM(E45:E46)","v":49},{"$f":"SUM(D47:E47)","v":100}]
[]
[null,null,2,"To create  a chart using two character variables highlight the names and values (if adjacent you don't have to hold down the Ctrl tab) and under INSERT click on Recommended Charts and choose the Recommended Chart or your own under All Charts.  You again have options to DESIGN and FORMAT your chart under CHART OPTIONS when you click on your chart.  The variables are character so the bars should have space between them.  "]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,"BAR CHART"]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,"Bar Chart of Marital Status By Gender"]

{"sheet":"Pivot Table and Chart","index":29,"n_rows":23,"n_cols":13,"rows_kept":23,"cut":false,"hidden":false,"merged":[[22,4,29,4],[22,5,28,11],[3,5,21,11],[3,4,21,4]]}
[]
[null,null,null,null,null,null,null,null,null,null,null,null,"TOC"]
[]
[null,null,null,null,"1 Pivot Table","To create a new Pivot Table: Go To the Data Set FINAL and highlight the variable's values and click on Insert Pivot Table and click on a new worksheet.  To edit this worksheet (which has a created pivot table already included) click on the Pivot Table1 to the left of this column and on the right side of the worksheet will appear Pivot Table Fields options for dragging and dropping your variables (listed on the left side of the Pivot Table Fields) into various roles such as a FILTER, COLUMN HEADER, ROWHEADERS, or a Σ VALUES option (when you drag a variable name, use only a numerical variable, to the Σ VALUES option and then click on the arrow to the right it will bring up options for statistics on the variable).  If you scroll down to the Value Field Settings you can choose what statistical option you would like other than Sum.  The PivotTable1 will then show a tally according to the options input in the Pivot Table Fields."]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,"To Insert Table and Chart","To insert both at Pivot Table and PivotChart highlight the data and go to INSERT, PivotChart ,and choose PivotChart & PivotTable and new Worksheet for an option.  Now you will have a 'template' for both a chart and a table.  You again click on one and input your options."]

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[]
[]
[null,null,"Data - Plotting and Analysis with Excel - Relative Risk  Versus Odds Ratio ",null,null,null,null,null,null,null,null,null,"TOC"]
[null,null,"1.  Given a rare condition, the Odds Ratio approximates the Relative Risk (or Risk Ratio)."]
[]
[null,null,"2.  To calculate confidence intervals for Relative Risk or Odds Ratios go to: http://www.biostat.umn.edu/~susant/Fall10ph6414/Lesson14_complete.pdf"]
[null,null,"3.  If there is no association between the two variables then the Relative Risk or Odds Ratio = 1.  If there is a possible association both will either be greater than 1 or less than 1."]
[null,null,"4.  The use of odds ratio in the large population-based studies: Warning to readers.  Lorenzo et al.   Muscles Ligaments Tendons J. 2014 Jan-Mar; 4(1): 90–92. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4049657/ \nPublished online 2014 May 8. "]
[null,null,"In a prospective study, either a Randomized Clinical Trial or a Cohort study, use Relative Risk.",null,null,null,null,null,null,null,null,"In a case-control, retrospective study, use Odds Ratio."]
[null,null,null,"RATIO OF TWO PROBABILITIES",null,null,null,null,null,null,null,null,"RATIO OF TWO ODDS"]
[null,null,"FORMULA",null,null,null,null,null,null,null,null,"FORMULA"]
[null,null,"VARIABLES",null,"The Outcome",null,"Calculation",null,null,null,null,"VARIABLES",null,"The Outcome"]
[null,null,null,null," +"," -",null,null,null,null,null,null,null," +"," -"]
[null,null," The Exposure"," +","a"," b","Risk Rate (Probability) of Developing Outcome in Exposed Group","Relative Risk (Risk Ratio)","Relative Risk Reduction ",null,null," The Exposure"," +","a"," b"]
[null,null,null,null,null,null,"a / (a+b)","(a / (a+b))","(a/(a+b))-(c/(c+d))",null,null,null," -","c","d"]
[null,null,null,null,null,null,null,"______","______",null,null,"Calculation",null,"Odds of Being Exposed in Cases","Odds of Being Exposed in Controls"]
[null,null,null," -","c","d","Risk Rate (Probability) of Developing Outcome in NON-Exposed Group","(c / (c+d))","(c/(c+d))",null,null,null,null," a/c"," b/d"]
[null,null,null,null,null,null,"c / (c+d)",null,null,null,null,null,null," Odds Ratio ="]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"(a/c) / (b/d)"]
[]
[null,null,"FICTITIOUS DATA"]
[null,null,"EXAMPLE",null,null,null,null,null,null,null,null,"EXAMPLE"]
[null,null,"VARIABLES",null,"The Outcome, CASES BREAST CANCER",null,"Risk Rate of Developing Outcome in Exposed","Relative Risk (Risk Ratio)","Relative Risk Reduction ",null,null,"VARIABLES",null,"The Outcome, CASES BREAST CANCER"]
[null,null,null,null," +"," -",null,null,null,null,null,null,null," +"," -"]
[null,null," The Exposure, SMOKING"," +",10,30,{"$f":"E25/(E25+F25)","v":0.25},{"$f":"G25/G26","v":2},{"$f":"(G25-G26)/G26","v":1},null,null," The Exposure, SMOKING"," +",10,30]
[null,null,null," -",5,35,{"$f":"E26/(E26+F26)","v":0.125},null,null,null,null,null," -",5,35]
[null,null,null,null,null,null,null,null,null,null,null,"Calculation",null,"Odds of Being Exposed in Cases","Odds of Being Exposed in Controls"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"N25/N26","v":2},{"$f":"O25/O26","v":0.8571428571428571}]
[null,null,null,null,null,null,null,null,null,null,null,null,null," Odds Ratio ="]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"N28/O28","v":2.3333333333333335}]
[]
[]
[]
[null,null,"YOUR NUMBERS",null,null,null,null,null,null,null,null,"YOUR NUMBERS"]
[null,null,"VARIABLES",null,"Gender Female/Male",null,"Risk Rate of Developing Outcome in Exposed","Relative Risk (Risk Ratio","Relative Risk Reduction ",null,null,"VARIABLES",null,"Gender Female/Male"]
[null,null,null,null," +"," -",null,null,null,null,null,null,null," +"," -"]
[null,null,"Urban/ Rural"," +",null,null,{"$f":"E37/(E37+F37)","v":{"$error":"#DIV/0!"}},{"$f":"G37/G38","v":{"$error":"#DIV/0!"}},{"$f":"(G37-G38)/G38","v":{"$error":"#DIV/0!"}},null,null,"Urban/ Rural"," +"]
[null,null,null," -",null,null,{"$f":"E38/(E38+F38)","v":{"$error":"#DIV/0!"}},null,null,null,null,null," -"]
[null,null,null,null,null,null,null,null,null,null,null,"Calculation",null,"Odds of Being Exposed in Cases","Odds of Being Exposed in Controls"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"N37/N38","v":{"$error":"#DIV/0!"}},{"$f":"O37/O38","v":{"$error":"#DIV/0!"}}]
[null,null,null,null,null,null,null,null,null,null,null,null,null," Odds Ratio ="]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"N40/O40","v":{"$error":"#DIV/0!"}}]

{"sheet":"Distributions","index":31,"n_rows":11,"n_cols":5,"rows_kept":11,"cut":false,"hidden":false,"merged":[[5,3,5,4],[6,3,6,4],[7,3,7,4],[8,3,8,4]]}
[]
[null,null,null,"Data - Plotting and Analysis with Excel","TOC"]
[]
[null,null,null,"KNOW YOUR OUTCOME VARIABLE TYPE AND POSSIBLE DISTRIBUTIONS"]
[]
[null,null,null,"By this time in your study, you know whether the data you are analyzing represent a population of all values or a sample from the population.  A population with a normal curve (bell shaped) distribution is characterized by parameters; a mean (µ symbol - describes the central tendency), a standard deviation (σ sigma symbol - describes the variability in the population), and a population size signified by N. \nHowever, if the population parameters are unknown and you are analyzing a sample drawn from many possible samples drawn from a population then the sample distribution is characterized by statistics;  a mean (x¯ (“x-bar”) symbol - describes the central tendency), a standard deviation (s symbol - describes the variability in the population), and a sample size signified by n. \n"]
[null,null,null,"Sample statistics vary as each sample drawn varies in its attributes.  If you repeatedly draw samples from the same population the sample statistics will have a distribution called the sampling distribution.  Sampling distributions have a; mean (x¯ (“x-bar”) and  a standard deviation. The standard deviation of a sampling distribution is called the standard error. Thus, the standard error is simply the standard deviation of a sampling distribution.\n\nFor example, if a random sample of 50 adults is taken on the island of Hawaii and their average or mean BMI is calculated we would have an estimate of all adults on the island of Hawaii's BMI.  However, the sample size is small and there would be a wide variation in means if repeated samples of size 50 are drawn and the mean of the BMI calculated.  If we plot the distribution of sample means we have a sampling distribution with a mean x¯ and a standard deviation of the sampling means called the standard error.  "]
[null,null,null,"Another distribution is the Chi-Square (χ²) family of distributions used with character variables where the outcome is counts of values for the character variables.  There is a different distribution with each different degree of freedom* for a study."]
[null,null,null,"*Degree(s) of freedom for a study. Once you have determined your test statistic you have a limited number of options for values for your data.  For example if you throw a die twice and you know the total is 4 and the first die thrown is a 2 then you know the second die thrown has to be a 2.  The degrees of freedom depend on the test statistic, variables, and alpha value set."]
[]
[null,null,null,"http://www.lock5stat.com/StatKey/"]

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[]
[null,null,"Data - Plotting and Analysis with Excel - Normal Distributions",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"TOC"]
[]
[]
[]
[]
[]
[null,null,null,"Bell Shaped"]
[null,null,null,"Mean, Median, and the Mode are all equal"]
[null,null,null,"Total Area is equal to 1 "]
[null,null,null,"It is Symmetric"]
[]
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"68.3 % of values fall within ± 1 SD"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"98.5 % of values fall within ± 2 SD"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"99.7 % of values fall within ± 3 SD"]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null,null,null,null,"% of values"]
[null,null,null,null,null,null,null,null,null,null,null,null,0.68300000000000005]
[null,null,null,null,null,null,null,null,null,null,null,0.98499999999999999]
[null,null,null,null,null,null,null,null,null,null,0.997]
[]
[null,null,null,null,null,null,null,"Sampling Distributions of a Population"]
[]
[null,null,null,null,"Population One with a Mean of 15.5 and SD of 3.5",null,null,null,null,null,null,null,null,"Comparing Two Sample Distributions with Different Means and Standard Deviations."]

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[11,"Female",66,738,2,1,38.6,"Japanese",null,null,null,50,25,null,55,7,1,null,null,38.6,36.5,null,null,null,"female","male"]
[12,"Female",75,133,2,1,39.200000000000003,"Native Hawaiian/Part",null,null,null,60,18,null,60,0,0,null,null,39.200000000000003,36.6,null,null,"Mean",38.304615384615381,39.760000000000005]
[15,"Female",73,498,1,1,36.799999999999997,"White",null,null,null,70,13,null,65,1,1,null,null,36.799999999999997,41.1,null,null,"Variance",23.935759615384768,58.380117647058583]
[18,"Female",54,202,1,2,35.200000000000003,"White",null,null,null,80,15,null,70,0,0,null,null,35.200000000000003,34.5,null,null,"Observations",65,35]
[21,"Female",55,486,1,2,36.4,"Native Hawaiian/Part",null,null,null,90,0,null,75,0,1,null,null,36.4,37.4,null,null,"df",64,34]
[22,"Female",34,192,1,1,38.4,"Other",null,null,null,"More",0,null,"More",0,0,null,null,38.4,38,null,null,"F",0.40999848201900196]
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[27,"Female",33,94,2,1,41,"Japanese",null,"Histogram",null,null,null,null,null,null,null,null,null,41,40.700000000000003]
[28,"Female",66,459,2,2,34.1,"Native Hawaiian/Part",null,null,null,null,null,null,null,null,null,null,null,34.1,36,null,null,"t-Test: Two-Sample Assuming Unequal Variances"]
[29,"Female",43,340,2,2,38.799999999999997,"Japanese",null,null,null,null,null,null,null,null,null,null,null,38.799999999999997,40.700000000000003]
[30,"Female",55,162,1,1,36.799999999999997,"Other",null,null,null,null,null,null,null,null,null,null,null,36.799999999999997,40.200000000000003,null,null,null,"female","male"]
[32,"Female",56,583,1,1,34.200000000000003,"Other",null,null,null,null,null,null,null,null,null,null,null,34.200000000000003,36.9,null,null,"Mean",38.304615384615381,39.760000000000005]
[33,"Female",34,399,2,1,35.9,"Filipino",null,null,null,null,null,null,null,null,null,null,null,35.9,39.200000000000003,null,null,"Variance",23.935759615384768,58.380117647058583]
[34,"Female",54,538,1,1,37.799999999999997,"Other",null,null,null,null,null,null,null,null,null,null,null,37.799999999999997,35.9,null,null,"Observations",65,35]
[38,"Female",22,399,1,2,45.6,"White",null,null,null,null,null,null,null,null,null,null,null,45.6,34.9,null,null,"Hypothesized Mean Difference",0]
[39,"Female",45,141,2,2,35.799999999999997,"Native Hawaiian/Part",null,null,null,null,null,null,null,null,null,null,null,35.799999999999997,35.9,null,null,"df",49]
[41,"Female",32,586,1,1,35.4,"Filipino",null,null,null,null,null,null,null,null,null,null,null,35.4,36.799999999999997,null,null,"t Stat",-1.019911942653696]
[42,"Female",54,415,1,1,34.700000000000003,"Native Hawaiian/Part",null,null,null,null,null,null,null,null,null,null,null,34.700000000000003,35,null,null,"P(T<=t) one-tail",0.15638981247670436]
[43,"Female",43,586,1,2,35,"White",null,null,null,null,null,null,null,null,null,null,null,35,35.5,null,null,"t Critical one-tail",1.6765508926168529]
[44,"Female",55,152,2,2,37.4,"Filipino",null,null,null,null,null,null,null,null,null,null,null,37.4,39.1,null,null,"P(T<=t) two-tail",0.31277962495340872]
[45,"Female",77,586,1,1,40.4,"Other",null,null,null,null,null,null,null,null,null,null,null,40.4,62.6,null,null,"t Critical two-tail",2.0095752371292388]
[46,"Female",45,379,1,1,42.9,"Unknown",null,null,null,null,null,null,null,null,null,null,null,42.9,35.4]
[47,"Female",32,103,2,1,61.8,"Japanese",null,null,null,null,null,null,null,null,null,null,null,61.8,39.9]
[48,"Female",23,133,2,2,36.6,"Filipino",null,null,null,null,null,null,null,null,null,null,null,36.6,71.900000000000006]
[49,"Female",44,315,2,2,40.4,"White",null,null,null,null,null,null,null,null,null,null,null,40.4,36.200000000000003]
[50,"Female",54,65,2,2,35,"Other",null,null,null,null,null,null,null,null,null,null,null,35,41.6]
[52,"Female",43,459,1,1,34.200000000000003,"Other",null,null,null,null,null,null,null,null,null,null,null,34.200000000000003,37.299999999999997]
[53,"Female",56,517,1,2,35.200000000000003,"White",null,null,null,null,null,null,null,null,null,null,null,35.200000000000003,34.700000000000003]
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[56,"Female",76,165,2,1,35.4,"Other",null,null,null,null,null,null,null,null,null,null,null,35.4]
[57,"Female",76,586,2,1,47.2,"White",null,null,null,null,null,null,null,null,null,null,null,47.2]
[58,"Female",43,340,2,1,34.299999999999997,"Other",null,null,null,null,null,null,null,null,null,null,null,34.299999999999997]
[59,"Female",23,340,2,2,34.799999999999997,"Native Hawaiian/Part",null,null,null,null,null,null,null,null,null,null,null,34.799999999999997]
[64,"Female",34,60,2,1,45.2,"Japanese",null,null,null,null,null,null,null,null,null,null,null,45.2]
[67,"Female",65,199,1,1,42.1,"Other",null,null,null,null,null,null,null,null,null,null,null,42.1]
[71,"Female",77,410,1,1,46.8,"Filipino",null,null,null,null,null,null,null,null,null,null,null,46.8]
[72,"Female",66,152,1,1,35,"Other",null,null,null,null,null,null,null,null,null,null,null,35]
[73,"Female",43,583,1,1,34.799999999999997,"Other",null,null,null,null,null,null,null,null,null,null,null,34.799999999999997]
[74,"Female",40,415,2,2,40.5,"Other",null,null,null,null,null,null,null,null,null,null,null,40.5]
[75,"Female",20,704,2,2,37.1,"Other",null,null,null,null,null,null,null,null,null,null,null,37.1]
[76,"Female",33,192,2,2,35.700000000000003,"Native Hawaiian/Part",null,null,null,null,null,null,null,null,null,null,null,35.700000000000003]
[77,"Female",42,51,1,1,35.9,"Other",null,null,null,null,null,null,null,null,null,null,null,35.9]
[78,"Female",66,44,1,1,37.200000000000003,"Japanese",null,null,null,null,null,null,null,null,null,null,null,37.200000000000003]
[79,"Female",54,44,1,1,34.799999999999997,"Native Hawaiian/Part",null,null,null,null,null,null,null,null,null,null,null,34.799999999999997]
[80,"Female",43,517,2,2,49.4,"Native Hawaiian/Part",null,null,null,null,null,null,null,null,null,null,null,49.4]
[82,"Female",32,310,2,2,43.9,"White",null,null,null,null,null,null,null,null,null,null,null,43.9]
[84,"Female",43,517,1,2,34.299999999999997,"Filipino",null,null,null,null,null,null,null,null,null,null,null,34.299999999999997]
[85,"Female",24,410,2,2,35,"Japanese",null,null,null,null,null,null,null,null,null,null,null,35]
[86,"Female",34,997,1,1,37.200000000000003,"White",null,null,null,null,null,null,null,null,null,null,null,37.200000000000003]
[87,"Female",64,291,2,1,46.6,"Native Hawaiian/Part",null,null,null,null,null,null,null,null,null,null,null,46.6]
[88,"Female",43,340,2,2,46.1,"Japanese",null,null,null,null,null,null,null,null,null,null,null,46.1]
[90,"Female",34,222,1,1,36.6,"Japanese",null,null,null,null,null,null,null,null,null,null,null,36.6]
[94,"Female",56,738,1,1,34.9,"White",null,null,null,null,null,null,null,null,null,null,null,34.9]
[95,"Female",43,586,1,1,37.1,"White",null,null,null,null,null,null,null,null,null,null,null,37.1]
[96,"Female",36,310,2,1,43.6,"Other",null,null,null,null,null,null,null,null,null,null,null,43.6]
[97,"Female",40,291,2,2,38.299999999999997,"Native Hawaiian/Part",null,null,null,null,null,null,null,null,null,null,null,38.299999999999997]
[98,"Female",42,340,1,2,38.1,"Other",null,null,null,null,null,null,null,null,null,null,null,38.1]
[100,"Female",23,219,1,2,35.200000000000003,"Other",null,null,null,null,null,null,null,null,null,null,null,35.200000000000003]
[2,"Male",56,486,1,2,35,"Japanese"]
[4,"Male",42,738,1,2,34.5,"Native Hawaiian/Part"]
[7,"Male",23,281,2,1,40.200000000000003,"White"]
[8,"Male",72,340,1,2,38.4,"Japanese"]
[9,"Male",43,174,1,1,38.799999999999997,"Other"]
[13,"Male",23,379,1,1,36.5,"Japanese"]
[14,"Male",44,738,1,2,36.6,"White"]
[16,"Male",23,340,1,2,41.1,"Japanese"]
[17,"Male",64,415,2,2,34.5,"Filipino"]
[19,"Male",23,459,2,1,37.4,"Other"]
[20,"Male",45,310,1,1,38,"White"]
[23,"Male",34,82,2,2,44.3,"Other"]
[25,"Male",45,74,1,2,49.9,"Japanese"]
[31,"Male",43,583,1,1,40.700000000000003,"Japanese"]
[35,"Male",78,586,2,1,36,"Japanese"]
[36,"Male",25,225,2,1,40.700000000000003,"Japanese"]
[37,"Male",33,997,2,2,40.200000000000003,"White"]
[40,"Male",33,125,2,2,36.9,"Japanese"]
[51,"Male",76,997,2,1,39.200000000000003,"Japanese"]
[60,"Male",77,223,1,2,35.9,"Other"]
[61,"Male",65,410,1,2,34.9,"Native Hawaiian/Part"]
[62,"Male",43,140,1,1,35.9,"Native Hawaiian/Part"]
[63,"Male",65,586,1,1,36.799999999999997,"Japanese"]
[65,"Male",23,886,1,2,35,"Native Hawaiian/Part"]
[66,"Male",54,110,2,2,35.5,"Japanese"]
[68,"Male",44,91,2,1,39.1,"Filipino"]
[69,"Male",76,419,2,2,62.6,"Japanese"]
[70,"Male",64,191,2,2,35.4,"Native Hawaiian/Part"]
[81,"Male",55,219,1,1,39.9,"Other"]
[83,"Male",77,174,1,1,71.900000000000006,"White"]
[89,"Male",77,75,2,1,36.200000000000003,"Filipino"]
[91,"Male",64,586,1,2,41.6,"White"]
[92,"Male",48,419,2,2,37.299999999999997,"Filipino"]
[93,"Male",54,200,1,1,34.700000000000003,"Other"]
[99,"Male",56,410,2,2,40,"Japanese"]

{"sheet":"Histogram","index":34,"n_rows":17,"n_cols":9,"rows_kept":17,"cut":false,"hidden":false,"merged":[[8,7,10,7],[11,7,25,7],[5,2,5,3]]}
[]
[null,null,"Data - Plotting and Analysis with Excel - Histogram",null,null,null,null,null,"TOC"]
[]
[null,null,"Plotting and Testing Normality of Continuous Data"]
[null,null,"Table 1. is copied from worksheet \"1\".  Worksheet 1 is a copy of the FINAL dataset used to create a histogram with bins in one column and the summary values in the second.  "]
[null,null,"Table 1. "]
[null,null,"Bins","Frequency"]
[null,null,10,0,null,null,null,"Histograms"]
[null,null,20,1,null,null,null,"To test normality or a bell shape distribution required of some parametric tests you visually inspect the data by creating a histogram of continuous values."]
[null,null,30,11]
[null,null,40,17]
[null,null,50,25,null,null,null,"For a frequency distribution of a continuous variable the data needs to be grouped into 'bins'.  You can create bins by entering the lower value of the bin into cells consecutively as in L:3 through L:11  on worksheet \"1\".  Then go to the Analysis TookPak and click on Histogram it will ask you to highlight the data (Input range) and then highlight the bins (Bin range).  The values have to be contiguous (adjacent). There are other options that you can select such as new worksheet and then click OK.  \nIf you highlight the data and go to Insert and Recommended Charts a histogram or a line chart option will come up and you can create a chart of your data.  You can right click on the chart to go to formatting options or click on the bars to format the bars.  If you double click (pause between clicks) on the bars you can format a single bar or point.  If you click on the axes or header you can modify them also."]
[null,null,60,18]
[null,null,70,13]
[null,null,80,15]
[null,null,90,0]
[null,null,"More",0]

{"sheet":"One Series Formulas","index":35,"n_rows":43,"n_cols":7,"rows_kept":43,"cut":false,"hidden":false,"merged":[[5,5,13,6],[40,2,40,5],[42,2,42,5]]}
[]
[null,null,"Data - Plotting and Analysis with Excel - One Continuous Variable",null,null,null,"TOC"]
[null,null,"Definitions - Statistical",null,"http://www.stat.berkeley.edu/~stark/SticiGui/Text/gloss.htm "]
[null,null,"Parametric Variable Basic Statistics and Graph, One Continuous Variable"]
[null,null,"Table 1 copied from worksheet '1'. "]
[null,null,"Table 1. Data Table AGE"]
[null,null,"Bin","Frequency"]
[null,null,10,0]
[null,null,20,1]
[null,null,30,11]
[null,null,40,17]
[null,null,50,25]
[null,null,60,18]
[null,null,70,13]
[null,null,80,15]
[null,null,90,0]
[]
[null,null,"Worksheet \"1\" is the source of the Data."]
[null,"N","Statistic for Age","*Formula Used in Column D","Value Age*","Value Age formatted"]
[null,1,"Sum"," =SUM('1'!C2:C101)",{"$f":"SUM('1'!C2:C101)","v":4918},{"$f":"E20","v":4918}]
[null,2,"Count"," =COUNT('1'!C2:C101)",{"$f":"COUNT('1'!C2:C101)","v":100},{"$f":"E21","v":100}]
[null,3,"Mean"," =AVERAGE('1'!C2:C101)",{"$f":"AVERAGE('1'!C2:C101)","v":49.18},{"$f":"E22","v":49.18}]
[null,4,"Confidence Interval for the Mean"," =CONFIDENCE(0.05,E25,E21)",{"$f":"CONFIDENCE(0.05,E25,E21)","v":3.2718741031509793},3.2718741031509793]
[null,null," X ± 95% CL ",null,"49.2 ± 3.3","49.2 (45.9-52.5) = mean (95% confidence limits)"]
[null,5,"Standard deviation, sample"," =STDEV('1'!C2:C101)",{"$f":"STDEV('1'!C2:C101)","v":16.693541967909134},{"$f":"ROUND(E25,1)","v":16.7},"descriptive of sample"]
[null,6,"Standard error*"," =E25/(SQRT(E21))",{"$f":"E25/(SQRT(E21))","v":1.6693541967909133},1.6693541967909133,"from distribution of sample means"]
[null,7,"Variance"," =VAR('1'!C2:C101)",{"$f":"VAR('1'!C2:C101)","v":278.67434343434354},278.67434343434354]
[null,8,"Kurtosis"," =KURT('1'!C2:C101)",{"$f":"KURT('1'!C2:C101)","v":-0.97138529578266786},-0.97138529578266786]
[null,9,"Skew"," =SKEW('1'!C2:C101)",{"$f":"SKEW('1'!C2:C101)","v":0.13172571873811365},0.13172571873811365]
[null,10,"Harmonic mean"," =HARMEAN('1'!C2:C101)",{"$f":"HARMEAN('1'!C2:C101)","v":43.04161349643261},43.04161349643261]
[null,11,"Geometric mean"," =GEOMEAN('1'!C2:C101)",{"$f":"GEOMEAN('1'!C2:C101)","v":46.178828963759749},46.178828963759749]
[null,12,"Median"," =MEDIAN('1'!C2:C101)",{"$f":"MEDIAN('1'!C2:C101)","v":45},45]
[null,13,"Minimum"," =MIN('1'!C2:C101)",{"$f":"MIN('1'!C2:C101)","v":20},20]
[null,14,"Maximum"," =MAX('1'!C2:C101)",{"$f":"MAX('1'!C2:C101)","v":78},78]
[null,15,"Raised to a Power of 2"," =POWER(('1'!C2:C101),2)",{"$f":"POWER(('1'!C2:C101),2)","v":3136},3136]
[null,16,"Square root (of variance)"," =SQRT(E27)",{"$f":"SQRT(E27)","v":16.693541967909134},{"$f":"ROUND(E36,2)","v":16.690000000000001}]
[null,17,"Mode"," =MODE('1'!C2:C101)",{"$f":"MODE('1'!C2:C101)","v":43},{"$f":"E37","v":43}]
[null,null,"*there is not a function for SE"]
[]
[]
[null,null,"Geometric mean:  A measure of central tendency like the mean but is the 'nth' root of the product (not the sum) of all the values.  It is useful with highly variable data, skewed data, and when relative changes occur.  Do you use it when there are negative or zero values in the data set.  "]
[]
[null,null,"To switch between viewing the results and viewing the formulas that return the results, press CTRL+` (grave accent), or on the Tools menu, point to Formula Auditing, and then click Formula Auditing Mode."]

{"sheet":"Correlation","index":36,"n_rows":17,"n_cols":6,"rows_kept":17,"cut":false,"hidden":false,"merged":[[7,2,8,5]]}
[]
[null,null,"Data - Plotting and Analysis with Excel - Correlation",null,null,"TOC"]
[]
[null,null,"CORRELATION  NUMERIC VARIABLES"]
[]
[]
[null,null,"How strong is the linear relationship of poverty or age and BMI?"]
[null,null,"Correlation (Pearson Product Moment Correlation) is the linear association between two continuous variables and lies between -1 and +1.  If the variables are highly positively associated the value lies closer to +1  (one variable's values increase while the other variable's values also increase).  If the variables are highly negatively associated (one variable's values increase while the other variable's values decrease) the value of the correlation coefficient lies closer to -1."]
[]
[]
[null,null,"GOAL","FORMULA","RESULT"]
[null,null,"General formula"," =CORREL(RANGE1, RANGE2) or PEARSON(RANGE1,RANGE2) specifically the Pearson Product Moment Correlation"]
[null,null,"Age and Poverty"," =CORREL(FINAL!C2:C101, FINAL!D2:D101)",{"$f":"CORREL(FINAL!C2:C101, FINAL!D2:D101)","v":4.8485645382111715E-3},"very slightly positive"]
[null,null,"Age and BMI"," =ROUND(CORREL(FINAL!C2:C101, FINAL!G2:G101),3)",{"$f":"ROUND(CORREL(FINAL!C2:C101, FINAL!G2:G101),3)","v":7.0999999999999994E-2},"slightly positive"]
[null,null,"Poverty and BMI","?"]
[]
[null,null,"Note: You can also use the Analysis TookPak for Correlation."]

{"sheet":"Inferential Statistics","index":37,"n_rows":17,"n_cols":6,"rows_kept":17,"cut":false,"hidden":false,"merged":[[5,3,5,4],[8,3,8,4],[11,3,11,4]]}
[]
[null,null,null,"Data - Plotting and Analysis with Excel - Inferential Statistics","TOC"]
[]
[null,null,null,"Inferential Statistics - Hypothesis Testing"]
[]
[null,null,null,"Deduce from sample evidence aspects of the population from which it is drawn.  "]
[null,null,null,"1.  First explain your hypotheses both Null (Ho) and Alternative (H1)"]
[null,null,null,"2.  Set your level of significance (α-alpha)"]
[null,null,null,"3.  Given your study variables determine the test statistic that will be used. Based on the hypotheses, theoretical distribution of the test statistic, degrees of freedom, and α-alpha determine the critical point(s) on the sampling distribution of the test statistic.  "]
[null,null,null,"4.  Analyze your sample data and calculate sample statistic."]
[null,null,null,"5.  Compare the calculated statistic to the test statistic on the theoretical distribution "]
[null,null,null,"6.  Conclusion:  If the calculated statistic falls beyond the critical test statistic (in the critical region) then it is unlikely to have occurred by chance at the α-alpha level chosen and the null hypothesis is rejected.  If the test statistic falls within the area (1-critical area) then there is not enough evidence to reject the null hypothesis of no difference at the α-alpha level chosen."]
[null,null,null,"7.  Examples in this Workbook."]
[null,null,null,"Chi-Square","Chi-Sq 2X1","Chi-Square 2X2"]
[null,null,null,"Students t-test Difference between sample means","Two Series Formulas","Means ToolPak"]
[null,null,null,"ANOVA Analysis of Variance","ANOVA ToolPak"]
[null,null,null,"Linear Regression","Regression Plot","Regression Results"]

{"sheet":"Chi-Sq 2X1","index":38,"n_rows":87,"n_cols":8,"rows_kept":87,"cut":false,"hidden":false,"merged":[[48,5,48,6],[38,3,38,4],[50,3,50,4],[44,3,44,4],[3,2,3,7],[5,2,5,8],[6,2,6,7],[7,2,7,8],[15,3,15,4],[9,3,9,4],[20,3,20,4],[33,3,33,5],[36,2,36,8],[10,5,12,6],[21,2,22,2],[4,2,4,6],[86,3,86,6],[82,2,82,8],[60,6,61,6],[65,2,65,6],[66,2,66,6],[67,2,67,6],[74,2,75,2],[76,2,77,2],[79,3,79,7]]}
[]
[null,null,"Data - Plotting and Analysis with Excel - Chi-Square Test of Goodness of Fit",null,null,"TOC"]
[null,null,"Categorical Variables Test - Chi-Square Test, Goodness of Fit One Variable"]
[null,null,"1.  Chi-Square tests are for tests on distributions of character variables frequency.  Do the values differ from a theoretical distribution?  The Chi-Square statistic is a comparison of the observed and the theoretical distribution  and can be used on one independent variable that is categorical.  The test determines whether the differences between the observed and theoretical proportion are too large to have occurred by chance.  The Chi-Square test is a one tailed test of frequency counts.   "]
[null,null,"Ho:  The data follow a specified distribution.  Females 0.60 Males 0.40 H1: The data do not follow the specified distribution."]
[null,null,"2.  Do not use on percentages, proportions.  Tables must be in frequency form, values have to be independent and random.  The total N should not be less than 10 and an individual cell not less than 5."]
[null,null,"3.  The example compares gender to a theoretical distribution.  Suppose that the proportion of females in theory should be 60%.  We are going to test if our sample distribution is different from this theoretical distribution."]
[null,null,"Example 1.  Input formulas Individually.  Formulas are below."]
[null,null,"FORMULAS NEEDED"]
[null,null,"STEPS","OBSERVED VALUES"]
[null,null,1,"GENDER","FREQUENCY","Named the individual columns for gender and marital status in FORMULAS and Name Manager."]
[null,null,"Input Counts","Female"," =COUNTIF(FINAL!B2:B101,\"Female\")"]
[null,null,null,"Male"," =COUNTIF(FINAL!B2:B101,\"Male\")"]
[null,null,null,"TOTAL"," =SUM(E11:E12)"]
[]
[null,null,2,"EXPECTED VALUES"]
[null,null,"Expected Values","GENDER","THEORETICAL"]
[null,null,null,"Female"," =0.6*E13"]
[null,null,null,"Male"," =0.4*E13"]
[]
[null,null,3,"CHI-SQUARE TABLE"]
[null,null,"Observed - Expected2/ Expected","GENDER","CALCULATION"]
[null,null,null,"Female"," =(POWER(E11-E17,2))/E17"]
[null,null,null,"Male"," =POWER(E12-E18,2)/E18"]
[]
[null,null,"4 Chi-Square Value χ²","Calculated Chi-Square Value",null," =E22+E23"]
[null,null,"Sum of Observed - Expected2/ Expected","Degrees of Freedom"," = NUMBER OF CATEGORIES MINUS 1",{"$f":"2-1","v":1}]
[null,null,"Degrees of Freedom DF 1","For this study we have One Degree of Freedom so use the Yates Correction Below."]
[]
[null,null,"5 Correction for Chi-Square","Use Yates Correction for One Degree of Freedom Chi-Square"]
[null,null,"When 1 DF Use This",null," =(POWER((E11-E17-0.5),2))/E17"]
[null,null,"CORRECTION",null," =POWER((E12-E18-0.5),2)/E18"]
[null,null,null,"Calculated Chi-Square Value",null," =E30+F31"]
[null,null,null,"Degrees of Freedom - how many numbers are independent for the two cells?  If you know the total and one is already filled in how many choices do you have for the second cell so that the toil equals the total already set?   ( = Number of Categories - one = 2-1 = 1) THIS FORMULA IS only for one variable distribution when there is more than one variable the calculation for degrees of freedom is different."]
[null,null,5]
[null,null,"For the Chi-Square Probability that corresponds to the calculated Chi-Square Value you need a Chi Square Table"]
[null,null,"Example 1.  Values as a result of the formulas.  You can see the formula in each cell or hit CTRL and the ` to see all formulas at once."]
[]
[null,null,"STEPS","OBSERVED VALUES"]
[null,null,1,"GENDER","FREQUENCY"]
[null,null,null,"Female",{"$f":"COUNTIFS(GENDER,\"Female\",MARITAL_STATUS,\"1\")","v":32}]
[null,null,null,"Male",{"$f":"COUNTIFS(GENDER,\"Male\",MARITAL_STATUS,\"1\")","v":19}]
[null,null,null,"TOTAL",{"$f":"COUNTIF(FINAL!E2:E101,1)","v":51}]
[]
[null,null,2,"EXPECTED VALUES"]
[null,null,null,"GENDER","THEORETICAL"]
[null,null,null,"Female",{"$f":"0.6*51","v":30.599999999999998}]
[null,null,null,"Male",{"$f":"0.4*51","v":20.400000000000002}]
[null,null,null,"TOTAL",{"$f":"SUM(E47:E48)","v":51}," The expected values total should equal the observed values total."]
[]
[null,null,3,"CHI-SQUARE VALUES"]
[null,null,null,"GENDER","CALCULATION"]
[null,null,null,"Female",{"$f":"(POWER(E41-E47,2))/E47","v":6.4052287581699549E-2}]
[null,null,null,"Male",{"$f":"POWER(E42-E48,2)/E48","v":9.6078431372549303E-2}]
[null,null,null,null,null,null,"ROUND FUNCTION =ROUND(VARIABLE,# OF DECIMELS)"]
[null,null,null,"Calculated Chi-Square Value",null,null,{"$f":"ROUND((E53+E54),2)","v":0.16}]
[null,null,null,"Degrees of Freedom","(rows-1)(columns-1)"," = (2-1)*(2-1)",{"$f":"(2-1)*(2-1)","v":1}]
[]
[]
[null,null,4,"Use Yates Correction for 1 Degree of Freedom Chi-Square"]
[null,null,null,null,{"$f":"(POWER((E41-E47-0.5),2))/E47","v":2.6470588235294246E-2}]
[null,null,null,null,{"$f":"POWER((E42-E48-0.5),2)/E48","v":0.17696078431372589}]
[null,null,null,"Calculated Chi-Square Value",null,null,{"$f":"ROUND((E61+E62),3)","v":0.20300000000000001}]
[null,null,null,"p Value"]
[]
[null,null,"Please note that a Chi-Square Test is essentially a one-sided test in that the differences between the observed and expected are squared so that the minus sign, if it occurs, disappears.  At the beginning of your study you decide what level of significance (α) you are going to use, let us say α= 0.05.  You then compare the calculated Chi-Square value to Chi-Square value from a table with df in the rows and α values for the columns.   "]
[null,null,"It may be confusing in that some tables give both sides of a Chi-Square distribution with probability increasing from left to right so that the p value is 0.95 for an (α) of 0.05.  "]
[null,null,"A right sided tests if the 'fit' is poor which is the test of interest.  A left sided test indicates whether the fit is 'too good' which is not usually the test of interest."]
[null,null,5]
[null,null,"For the Chi-Square Value that corresponds to the Degrees of Freedom and Probability you need a Chi-Square Table"]
[null,null,null,"Chi-Square Table One Degree of Freedom","Taken From:","https://www.medcalc.org/manual/chi-square-table.php"]
[null,null,null,null,"P"]
[null,null,null,"DF",0.1,0.05,2.5000000000000001E-2,0.02]
[null,null,"Find the Row for DF",1,2.706,3.8410000000000002,5.024,5.4119999999999999]
[null,null,"Find the Column for the Probability of Interest",2,4.6050000000000004,5.9909999999999997,7.3780000000000001,7.8239999999999998]
[null,null,null,3,6.2510000000000003,7.8150000000000004,9.3480000000000008,9.8369999999999997]
[null,null,"Compare the Calculated Value to the Table Value",4,7.7789999999999999,9.4879999999999995,11.143000000000001,11.667999999999999]
[null,null,null,5,9.2360000000000007,11.07,12.833,13.388]
[]
[null,null,6,"Compare calculated statistic (Chi-Sq = 0.203) to test statistic (3.841).  The calculated statistic is not larger than the test  statistic so we fail to reject the null hypothesis of no difference.  The proportion of females in our study population does not differ significantly from 0.60."]
[]
[]
[null,null,"Example 2.  Use the formula CHISQ.TEST to compute the PROBABILITY for the calculated Chi-Square Test (it does not give the Chi-Square Calculation)"]
[null,null,null,"Chi-Square Formula gives probability of calculated statistic not the Chi-Square Value."," =CHISQ.TEST(E43:F44,E50:F51)"]
[null,null,null,"Chi-Square Probability at alpha = 0.05",{"$f":"_xlfn.CHISQ.TEST(E42:E43,E48:E49)","v":0.75658741269474605},"The probability is not less than the 0.05 and so we conclude again that the proportion of females does not differ significantly from 0.60."]
[]
[null,null,null,"Please Note:  The Chi-square test is not reliable when the expected values are below 5 or the total values are less than 50.  Check then into Fisher's Exact Test."]

{"sheet":"Chi-Square 2X2","index":39,"n_rows":93,"n_cols":8,"rows_kept":93,"cut":false,"hidden":false,"merged":[[3,2,3,7],[47,3,47,6],[48,7,51,8],[4,2,4,8],[5,2,5,7],[6,2,6,8],[7,2,7,8],[8,3,8,6],[13,7,14,8],[9,3,10,3],[9,4,9,5],[9,7,12,8],[10,2,11,2],[18,6,19,7],[16,2,17,2],[22,2,23,2],[38,2,38,8],[39,2,39,8],[40,3,40,6],[41,3,42,3],[41,4,41,5],[15,3,15,5],[16,3,17,3],[16,4,16,5],[21,3,21,5],[22,3,23,3],[22,4,22,5],[92,3,93,6],[65,6,66,6],[48,3,49,3],[48,4,48,5],[54,3,54,5],[55,3,56,3],[55,4,55,5],[82,3,83,6],[69,2,69,6],[70,2,70,6],[71,2,71,6],[72,2,72,6],[86,2,86,8],[88,5,89,7],[78,2,79,2],[80,2,81,2]]}
[]
[null,null,"Data - Plotting and Analysis with Excel - Chi-Square Test of Independence",null,null,"TOC"]
[null,null,"Categorical Variables Test - Chi-Square Test, Test of Independence, Two Variables",null,null,"https://en.wikipedia.org/wiki/Chi-squared_distribution"]
[null,null,"1.  Do the values differ from what would be expected given the total counts in the margin?  The Chi-Square statistic is a comparison of the observed and expected response counts and can be used on one or more independent variables that are categorical.  The test determines whether the differences between the observed and expected responses are too large to have occurred by chance.  The Chi-Square test can be a one or two tailed test of frequency counts.   "]
[null,null,"2.  Do not use on percentages, proportions.  Table must be in frequency form, values have to be independent and random.  The total N should not be less than 10 and an individual cell not less than 5."]
[null,null,"3.  The example compares gender and marital status, is there a significant difference between males that are married compared to females that are married?   "]
[null,null,"Example 1.  Method is Input formulas Individually.  Formulas are below. "]
[null,null,"FORMULAS NEEDED"]
[null,null,"STEPS","OBSERVED VALUES"]
[null,null,1,"GENDER","MARITAL STATUS",null,"TOTAL","Named the individual columns for gender and marital status in FORMULAS and Name Manager."]
[null,null,"Input Counts from Data",null,"Married ","Not Married"]
[null,null,null,"Female"," =COUNTIFS(GENDER,\"Female\",MARITAL_STATUS,\"1\")"," =COUNTIFS(GENDER,\"Female\",MARITAL_STATUS,\"2\")"," =COUNTIF(FINAL!B2:B101,\"Female\")"]
[null,null,null,"Male"," =COUNTIFS(GENDER,\"Male\",MARITAL_STATUS,\"1\")"," =COUNTIFS(GENDER,\"Male\",MARITAL_STATUS,\"2\")"," =COUNTIF(FINAL!B2:B101,\"Male\")"]
[null,null,null,"TOTAL"," =COUNTIF(FINAL!E2:E101,1)"," =COUNTIF(FINAL!E2:E101,2)"," =SUM(E14:F14)","TO EXIT A FORMULA GO TO THE END OF THE FORMULA AND HIT RETURN!"]
[]
[null,null,2,"EXPECTED VALUES"]
[null,null,"Calculated Expected Values","GENDER","MARITAL STATUS"]
[null,null,null,null,"Married ","Not Married"]
[null,null,null,"Female"," =(E14/G14)*(G12/G14)*G14"," =(F14/G14)*(G12/G14)*G14","Color coding matches the marginal totals above."]
[null,null,null,"Male"," =(E14/G14)*(G13/G14)*G14"," =(F14/G14)*(G13/G14)*G14"]
[]
[null,null,3,"CHI-SQUARE TABLE"]
[null,null,"Observed - Expected2/ Expected","GENDER","MARITAL STATUS"]
[null,null,null,null,"Married ","Not Married"]
[null,null,null,"Female"," =(POWER(E12-E19,2))/E19"," =POWER(F12-F19,2)/F19"]
[null,null,null,"Male"," =POWER(E13-E20,2)/E20"," =POWER(F13-F20,2)/F20"]
[null,null,"4 Chi-Square Value"]
[null,null,"Sum of Observed - Expected2/ Expected","Calculated Chi-Square Value",null,null," =E25+E26+F25+F26"]
[null,null,"Degrees of Freedom DF 1","Degrees of Freedom - DF","(rows-1)(columns-1)"," = (2-1)*(2-1)"]
[]
[null,null,"5 Correction for Chi-Square"]
[null,null,"When 1 DF Use This","Use Yates Correction for One Degree of Freedom Chi-Square"]
[null,null,"CORRECTION",null," =(POWER((E12-E19-0.5),2))/E19"," =POWER((F12-F19-0.5),2)/F19"]
[null,null,null,null," =POWER((E13-E20-0.5),2)/E20"," =POWER((F13-F20-0.5),2)/F20"]
[null,null,null,"Calculated Chi-Square Value",null,null," =E33+F33+F34+E34"]
[null,null,null,"degrees of Freedom - how many numbers are independent","(rows-1)(columns-1)",null,"  = (2-1)*(2-1)"]
[null,null,"For the Chi-Square Probability that corresponds to the calculated Chi-Square Value you need a Chi Square Table"]
[]
[null,null,"Example 1.  Values as a result of the formulas.  You can see the formula in each cell or hit CTRL and the ` to see all formulas at once."]
[]
[null,null,"STEPS","OBSERVED VALUES"]
[null,null,1,"GENDER","MARITAL STATUS",null,"TOTAL"]
[null,null,null,null,"Married ","Not Married"]
[null,null,null,"Female",{"$f":"COUNTIFS(GENDER,\"Female\",MARITAL_STATUS,\"1\")","v":32},{"$f":"COUNTIFS(GENDER,\"Female\",MARITAL_STATUS,\"2\")","v":33},{"$f":"COUNTIF(FINAL!B2:B101,\"Female\")","v":65}]
[null,null,null,"Male",{"$f":"COUNTIFS(GENDER,\"Male\",MARITAL_STATUS,\"1\")","v":19},{"$f":"COUNTIFS(GENDER,\"Male\",MARITAL_STATUS,\"2\")","v":16},{"$f":"COUNTIF(FINAL!B2:B101,\"Male\")","v":35}]
[null,null,null,"TOTAL",{"$f":"COUNTIF(FINAL!E2:E101,1)","v":51},{"$f":"COUNTIF(FINAL!E2:E101,2)","v":49},{"$f":"SUM(E46:F46)","v":100}]
[]
[null,null,2,"EXPECTED VALUES"]
[null,null,null,"GENDER","MARITAL STATUS",null,"TOTAL"," The expected values total should equal the observed values total."]
[null,null,null,null,"Married ","Not Married"]
[null,null,null,"Female",{"$f":"(E46/G46)*(G44/G46)*G46","v":33.15},{"$f":"(F46/G46)*(G44/G46)*G46","v":31.85},{"$f":"SUM(E51:F51)","v":65}]
[null,null,null,"Male",{"$f":"(E46/G46)*(G45/G46)*G46","v":17.849999999999998},{"$f":"(F46/G46)*(G45/G46)*G46","v":17.149999999999999},{"$f":"SUM(E52:F52)","v":35}]
[null,null,null,"TOTAL",{"$f":"SUM(E51:E52)","v":51},{"$f":"SUM(F51:F52)","v":49},{"$f":"SUM(E53:F53)","v":100}]
[]
[null,null,3,"CHI-SQUARE TABLE"]
[null,null,null,"GENDER","MARITAL STATUS"]
[null,null,null,null,"Married ","Not Married"]
[null,null,null,"Female",{"$f":"(POWER(E44-E51,2))/E51","v":3.9894419306183912E-2},{"$f":"POWER(F44-F51,2)/F51","v":4.1522762951334273E-2}]
[null,null,null,"Male",{"$f":"POWER(E45-E52,2)/E52","v":7.4089635854342015E-2},{"$f":"POWER(F45-F52,2)/F52","v":7.7113702623906516E-2}]
[null,null,null,null,null,null,"ROUND FUNCTION =ROUND(VARIABLE,# OF DECIMELS)"]
[null,null,4,"Calculated Chi-Square Value",null,null,{"$f":"ROUND((E58+E59+F58+F59),2)","v":0.23}]
[null,null,null,"Degrees of Freedom","(rows-1)(columns-1)"," = (2-1)*(2-1)",{"$f":"(2-1)*(2-1)","v":1}]
[]
[]
[null,null,null,"Use Yates Correction for 1 Degree of Freedom Chi-Square"]
[null,null,null,null,{"$f":"(POWER((E44-E51-0.5),2))/E51","v":8.2126696832579046E-2},{"$f":"POWER((F44-F51-0.5),2)/F51","v":1.3265306122448922E-2},"ROUND FUNCTION =ROUND(VARIABLE,# OF DECIMELS)"]
[null,null,null,null,{"$f":"POWER((E45-E52-0.5),2)/E52","v":2.3669467787115005E-2},{"$f":"POWER((F45-F52-0.5),2)/F52","v":0.15874635568513093}]
[null,null,null,"Calculated Chi-Square Value",null,null,{"$f":"ROUND((E66+F66+F67+E67),2)","v":0.28000000000000003}]
[null,null,null,"p Value"]
[null,null,"Please note that a Chi-Square Test is essentially a one-sided test in that the differences between the observed and expected are squared so that the minus sign, if it occurs, disappears.  At the beginning of your study you decide what level of significance (α) you are going to use, let us say α= 0.05.  You then compare the calculated Chi-Square value to Chi-Square value from a table with df in the rows and α values for the columns.   "]
[null,null,"It may be confusing in that some tables give both sides of a Chi-Square distribution with probability increasing from left to right so that the p value is 0.95 for an (α) of 0.05.  "]
[null,null,"A right sided tests if the 'fit' is poor which is the test of interest.  A left sided test indicates whether the fit is 'too good' which is not usually the test of interest."]
[]
[null,null,"For the Chi-Square Value that corresponds to the Degrees of Freedom and Probability you need a Chi-Square Table"]
[null,null,null,"Chi-Square Table One Degree of Freedom","Taken From:","https://www.medcalc.org/manual/chi-square-table.php"]
[null,null,null,null,"P"]
[null,null,null,"DF",0.1,0.05,2.5000000000000001E-2,0.02]
[null,null,"Find the Row for DF",1,2.706,3.8410000000000002,5.024,5.4119999999999999]
[null,null,"Find the Column for the Probability of Interest",2,4.6050000000000004,5.9909999999999997,7.3780000000000001,7.8239999999999998]
[null,null,null,3,6.2510000000000003,7.8150000000000004,9.3480000000000008,9.8369999999999997]
[null,null,"Compare the Calculated Value to the Table Value",4,7.7789999999999999,9.4879999999999995,11.143000000000001,11.667999999999999]
[null,null,null,5,9.2360000000000007,11.07,12.833,13.388]
[null,null,null,"To be significant our calculated value has to be larger than the table value.  0.28 < 3.84 so we fail to reject our null hypothesis of no difference.  It is not significant  There is not a significant difference in marital status between females and males."]
[]
[]
[]
[null,null,"Example 2.  Use the formula CHISQ.TEST to compute the probability for the calculated Chi-Square Test (it does not give the Chi-Square Calculation)"]
[null,null,null,"Chi-Square Formula gives probability not the Chi-Square Value."," =CHISQ.TEST(E43:F44,E50:F51)"]
[null,null,null,"Chi-Square Probability at alpha = 0.05",{"$f":"_xlfn.CHISQ.TEST(E44:F45,E51:F52)","v":0.62958752301142173}]
[]
[null,null,null,"Conclusion?"]
[]
[null,null,null,"Please Note:  The Chi-square test is not reliable when the expected values are below 5 or the total values are less than 50.  Check then into Fisher's Exact Test."]

{"sheet":"Two Series Formulas","index":40,"n_rows":39,"n_cols":7,"rows_kept":39,"cut":false,"hidden":false,"merged":[[4,3,4,4]]}
[]
[null,null,"Data - Plotting and Analysis with Excel - Two Continuous Variables",null,null,null,"TOC"]
[null,null,"Parametric Variables Basic Statistics and Graph, Two Continuous Variables"]
[null,null,"Table 1 copied from worksheet \"1\". "]
[null,null,"Table 1.  Data Table","Frequency"]
[null,null,"BMI","Males","Females"]
[null,null,30,0,0]
[null,null,35,18,6]
[null,null,40,31,19]
[null,null,45,8,7]
[null,null,55,7,1]
[null,null,60,0,0]
[null,null,65,1,1]
[null,null,70,0,0]
[null,null,75,0,1]
[]
[]
[null,null,"Worksheet \"1\" is the source of the Data sorted by gender."]
[null,null,"Statistic","Formula Example Males(to use delete first space)","Males","Females","Comparisons"]
[null,null,"Sum"," =SUM('1'!G2:G66)",{"$f":"SUM('1'!G2:G66)","v":2489.7999999999997},{"$f":"SUM('1'!G67:G101)","v":1391.6000000000001}]
[null,null,"Count"," =COUNT('1'!G2:G66)",{"$f":"COUNT('1'!G2:G66)","v":65},{"$f":"COUNT('1'!G67:G101)","v":35}]
[null,null,"Mean"," =AVERAGE('1'!G2:G66)",{"$f":"AVERAGE('1'!G2:G66)","v":38.304615384615381},{"$f":"AVERAGE('1'!G67:G101)","v":39.760000000000005}]
[null,null,"Confidence Interval for the Mean"," =CONFIDENCE(0.05,E24,E21)",{"$f":"CONFIDENCE(0.05,E24,E21)","v":1.1893646326087399},{"$f":"CONFIDENCE(0.05,F24,F21)","v":2.5313170930139108}]
[null,null,"Standard deviation, sample"," =STDEV('1'!G2:G66)",{"$f":"STDEV('1'!G2:G66)","v":4.8924185854631004},{"$f":"STDEV('1'!G67:G101)","v":7.6406882966823471}]
[null,null,"Standard error*"," =D24/(SQRT(E21))",{"$f":"E24/(SQRT(E21))","v":0.60682984074722635},{"$f":"F24/(SQRT(F21))","v":1.2915120445990935}]
[null,null,"Variance"," =VAR('1'!G2:G66)",{"$f":"VAR('1'!G2:G66)","v":23.935759615384768},{"$f":"VAR('1'!G67:G101)","v":58.380117647058583}]
[null,null,"Kurtosis"," =KURT('1'!G2:G66)",{"$f":"KURT('1'!G2:G66)","v":7.3917473179611619},{"$f":"KURT('1'!G67:G101)","v":10.677188951819893}]
[null,null,"Skew"," =SKEW('1'!G2:G66)",{"$f":"SKEW('1'!G2:G66)","v":2.3011648337131412},{"$f":"SKEW('1'!G67:G101)","v":3.1458328718377797}]
[null,null,"Median"," =MEDIAN('1'!G2:G66)",{"$f":"MEDIAN('1'!G2:G66)","v":36.799999999999997},{"$f":"MEDIAN('1'!G67:G101)","v":37.4}]
[null,null,"Minimum"," =MIN('1'!G2:G66)",{"$f":"MIN('1'!G2:G66)","v":34},{"$f":"MIN('1'!G67:G101)","v":34.5}]
[null,null,"Maximum"," =MAX('1'!G2:G66)",{"$f":"MAX('1'!G2:G66)","v":61.8},{"$f":"MAX('1'!G67:G101)","v":71.900000000000006}]
[null,null,"Square root (of variance)"," =SQRT(E26)",{"$f":"SQRT(E26)","v":4.8924185854631004},{"$f":"SQRT(F26)","v":7.6406882966823471}]
[null,null,"Pearson Product Moment Correlation"," =PEARSON('1'!D2:D101,'1'!G2:G101)",null,"Poverty and BMI",{"$f":"PEARSON('1'!D2:D101,'1'!G2:G101)","v":-0.12992988676430403}]
[null,null,"F TEST Comparison of Variance p Value"," =FTEST('1'!G2:G66,'1'!G67:G101)",null,null,{"$f":"FTEST('1'!G2:G66,'1'!G67:G101)","v":2.098914897726888E-3}]
[null,null,"T TEST Comparison of Means p Value"," =TTEST('1'!G2:G66,'1'!G67:G101,2,3)",null,null,{"$f":"TTEST('1'!G2:G66,'1'!G67:G101,2,3)","v":0.31274022141004193}]
[null,null,"α = 0.05"]
[null,null,"*there is not a function for SE"]
[null,null,"Note: The TTEST input is (first array, second array, number of tails, type of t test)  There are three types: 1.  Paried data, 2. Not paired with equal variance, 3.  Not paired with unequal variance."]
[null,null,"Conclusion:  The F test indicates a significant difference between variances and then the unequal variance t-Test indicates not a significant difference between the two means."]

{"sheet":"Means ToolPak Results","index":41,"n_rows":101,"n_cols":29,"rows_kept":101,"cut":false,"hidden":false,"merged":[[44,8,47,10],[0,16,0,17],[5,4,8,5],[22,2,22,3],[22,4,22,5],[23,8,27,15],[29,8,30,10]]}
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"DATA",null,"IDN","URBAN_RURAL SORTED","BMI"]
[null,null,"Data - Plotting and Analysis with Excel - Means with F and t Test with TookPak",null,null,null,"TOC",null,"Frequency plot",null,null,null,null,null,null,null,null,null,1,1,39.1,null,null,"BMI","Urban","Rural","BMI","Rural","Urban"]
[null,null,null,null,null,null,null,1,null,null,null,null,null,null,null,null,null,null,3,1,34.799999999999997,null,null,"Bin","Frequency","Frequency","Bin","Frequency","Frequency"]
[null,null,"Comparing Means, BMI By Urban/ Rural",null,"http://people.duke.edu/~rnau/testing.htm",null,null,null,null,null,null,null,null,null,null,null,null,null,5,1,38,null,null,30,0,0,30,0,0]
[null,null,"Using Analysis ToolPak add-in",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11,1,38.6,null,null,35,11,13,35,13,11]
[null,null,null,null,"Central Limit Theorem Sample Size - the sampling distribution of the sampling means with replacement approaches a normal distribution as the sample size gets larger (n≥30), regardless of the shape of the population distribution.",null,null,null,null,null,null,null,null,null,null,null,null,null,12,1,39.200000000000003,null,null,40,27,23,40,23,27]
[null,null,null,"Assumptions Data - Check",null,null,null,null,null,null,null,null,null,null,null,null,null,null,15,1,36.799999999999997,null,null,45,8,7,45,7,8]
[null,null,"Steps","Random Sample",null,null,null,null,null,null,null,null,null,null,null,null,null,null,22,1,38.4,null,null,55,4,4,55,4,4]
[null,null,null,"Normal Probability Distribution",null,null,null,null,null,null,null,null,null,null,null,null,null,null,26,1,34.200000000000003,null,null,60,0,0,60,0,0]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,27,1,41,null,null,65,1,1,65,1,1]
[null,null,1,"Copy data from worksheet '1'.  Sort data by Urban/ Rural.  Look to the right to see the data and bins used for the frequency plot.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,30,1,36.799999999999997,null,null,70,0,0,70,0,0]
[null,null,2,"Graph the relationship and generate descriptive statistics.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,32,1,34.200000000000003,null,null,75,1,0,75,0,1]
[null,null,3,"Use the F Test Equality of Variances in Analysis TookPak to see if males and females have equal variances.",null,null,null,2,"F-Test Two-Sample for Variances",null,null,null,"F-Test Two-Sample for Variances",null,null,null,null,null,33,1,35.9,null,null,"More",0,0,"More",0,0]
[null,null,4,"Determine if  t Test for a sample or Z test for population should be used.  Here data are a sample of all possible values so use a t Test.",null,null,null,null,null,null,null,null,"Variables Reversed",null,null,null,null,null,34,1,37.799999999999997]
[null,null,5,"Determine type of t Test, depends on results of the F Test on equality of Variance.",null,null,null,null,null,"Urban","Rural",null,null,"Rural","Urban",null,null,null,41,1,35.4]
[null,null,6,"Run the t Test in this case with equal variance In Analysis TookPak Add-In.",null,null,null,null,"Mean",39.24807692307693,38.343750000000007,null,"Mean",38.343750000000007,39.24807692307693,null,null,null,42,1,34.700000000000003]
[null,null,7,"Compare the p Value to alpha = 0.05.  It is generally best to have a two tailed hypothesis.  ",null,null,null,null,"Variance",43.374309954750771,28.351023936169867,null,"Variance",28.351023936169867,43.374309954750771,null,null,null,45,1,40.4]
[null,null,null,null,null,null,null,null,"Observations",52,48,null,"Observations",48,52,null,null,null,46,1,42.9]
[null,null,null,null,null,null,null,null,"df",51,47,null,"df",47,51,null,null,null,47,1,61.8]
[null,null,null,null,null,null,null,null,"F",1.5299027665598488,null,null,"F",0.6536363106582308,null,null,null,null,52,1,34.200000000000003]
[null,null,"Results of Using Descriptive Statistics in the Analysis ToolPak, Each One Performed Separately",null,null,null,null,null,"P(F<=f) one-tail",7.1348277067114232E-2,null,null,"P(F<=f) one-tail",7.1348277067114552E-2,null,null,null,null,56,1,35.4]
[null,null,null,null,null,null,null,null,"F Critical one-tail",1.6122353047432205,null,null,"F Critical one-tail",0.62025685522329466,null,null,null,null,57,1,47.2]
[null,null,"URBAN",null,"RURAL",null,null,null,null,null,null,null,null,null,null,null,null,null,58,1,34.299999999999997]
[null,null,null,null,null,null,null,null,"The tool calculates the value f of an F-statistic (or F-ratio). A value of f close to 1 provides evidence that the underlying population variances are equal. In the output table, if f < 1 \"P(F <= f) one-tail\" gives the probability of observing a value of the F-statistic less than f when population variances are equal, and \"F Critical one-tail\" gives the critical value less than 1 for the chosen significance level Alpha.   If f > 1, \"P(F <= f) one-tail\" gives the probability of observing a value of the F-statistic greater than f when population variances are equal, and \"F Critical one-tail\" gives the critical value greater than 1 for Alpha.  The 0.07 probability shows there is a difference in variance but it is not statistically significant.",null,null,null,null,null,null,null,null,null,64,1,45.2]
[null,null,"Mean",39.24807692307693,"Mean",38.343750000000007,null,null,null,null,null,null,null,null,null,null,null,null,67,1,42.1]
[null,null,"Standard Error",0.91330243910966802,"Standard Error",0.76853518592419623,null,null,null,null,null,null,null,null,null,null,null,null,71,1,46.8]
[null,null,"Median",37.299999999999997,"Median",36.5,null,null,null,null,null,null,null,null,null,null,null,null,72,1,35]
[null,null,"Mode",34.799999999999997,"Mode",35,null,null,null,null,null,null,null,null,null,null,null,null,73,1,34.799999999999997]
[null,null,"Standard Deviation",6.5859175484324712,"Standard Deviation",5.3245679577004053,null,null,null,null,null,null,null,null,null,null,null,null,77,1,35.9]
[null,null,"Sample Variance",43.374309954750771,"Sample Variance",28.351023936169867,null,5,"t-Test: Two-Sample Assuming Equal Variances",null,null,null,null,null,null,null,null,null,78,1,37.200000000000003]
[null,null,"Kurtosis",13.392351222498798,"Kurtosis",8.5603157909261895,null,null,null,null,null,null,null,null,null,null,null,null,79,1,34.799999999999997]
[null,null,"Skewness",3.3165883683540298,"Skewness",2.5815890356446194,null,null,null,"Urban","Rural",null,null,null,null,null,null,null,86,1,37.200000000000003]
[null,null,"Range",37.700000000000003,"Range",28.6,null,null,"Mean",39.24807692307693,38.343750000000007,null,null,null,null,null,null,null,87,1,46.6]
[null,null,"Minimum",34.200000000000003,"Minimum",34,null,null,"Variance",43.374309954750771,28.351023936169867,null,null,null,null,null,null,null,90,1,36.6]
[null,null,"Maximum",71.900000000000006,"Maximum",62.6,null,null,"Observations",52,48,null,null,null,null,null,null,null,94,1,34.9]
[null,null,"Sum",2040.9000000000003,"Sum",1840.5000000000002,null,null,"Pooled Variance",36.169264619308912,null,null,null,null,null,null,null,null,95,1,37.1]
[null,null,"Count",52,"Count",48,null,null,"Hypothesized Mean Difference",0,null,null,null,null,null,null,null,null,96,1,43.6]
[null,null,"Confidence Level(95.0%)",1.8335311541464356,"Confidence Level(95.0%)",1.5460933697505423,null,null,"df",98,null,null,null,null,null,null,null,null,7,1,40.200000000000003]
[null,null,null,null,null,null,null,null,"t Stat",0.75123862933639596,null,null,null,null,null,null,null,null,9,1,38.799999999999997]
[null,null,null,null,null,null,null,null,"P(T<=t) one-tail",0.22715464253366252,null,null,null,null,null,null,null,null,13,1,36.5]
[null,null,null,null,null,null,null,null,"t Critical one-tail",1.6605512170657302,null,null,null,null,null,null,null,null,19,1,37.4]
[null,null,null,null,null,null,null,null,"P(T<=t) two-tail",0.45430928506732504,null,null,null,null,null,null,null,null,20,1,38]
[null,null,null,null,null,null,null,null,"t Critical two-tail",1.9844674545084788,null,null,null,null,null,null,null,null,31,1,40.700000000000003]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,35,1,36]
[null,null,null,null,null,null,null,null,"Fail to reject the null hypothesis of no difference of BMI between Urban and Rural.  p value two tail is 0.454. Use 2 tail in that we don't know to begin with which is smaller.  ",null,null,null,null,null,null,null,null,null,36,1,40.700000000000003]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,51,1,39.200000000000003]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,62,1,35.9]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,63,1,36.799999999999997]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,68,1,39.1]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,81,1,39.9]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,83,1,71.900000000000006]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,89,1,36.200000000000003]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,93,1,34.700000000000003]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6,2,34.299999999999997]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,2,35.5]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,18,2,35.200000000000003]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,21,2,36.4]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,24,2,36]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,28,2,34.1]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,29,2,38.799999999999997]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,38,2,45.6]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,39,2,35.799999999999997]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,43,2,35]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,44,2,37.4]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,48,2,36.6]
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[null,null,"Data - Plotting and Analysis with Excel - ANOVA ToolPak",null,null,null,null,null,null,null,null,"TOC"]
[null,null,"BMI","Fictitious Data",null,null,"Check the data, is there an error?"]
[null,null,"ISLAND 1","ISLAND 2","ISLAND 3",null,"Definitions - Statistical","http://www.stat.berkeley.edu/~stark/SticiGui/Text/gloss.htm "]
[null,null,31,23,40,null,"Analysis of Variance using ToolPak Results"]
[null,null,40,40,31,null,"1.  Be sure and check statistical assumptions for your data before running an ANOVA on sets of data."]
[null,null,24,26,17,null,"2.  Go to TookPak and click on ANOVA in this case single factor (BMI) and highlight your data including the headers and click on whether data is grouped by columns or row, the including headers option, input the alpha value, and where you want the output placed.  The test compares an F calcuated to an F critical from a theoretical F distribution with known degress of freedom (numerator between, denominator within).  The F calculated measures between groups versus within groups variation."]
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[null,null,35,21,36]
[null,null,24,26,19]
[null,null,35,26,16]
[null,null,42,35,36,null,"4.  How were degrees of freedom calculated?"]
[null,null,28,34,35,null,"5.  Conclusion?"]
[null,null,35,35,42]
[null,null,20,19,19]
[null,null,35,39,18,null,"Analysis of Variance using ToolPak Results"]
[null,null,23,22,33,null,"Anova: Single Factor"]
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[null,null,33,25,27,null,"ISLAND 2",100,3063,30.63,53.892020202020177]
[null,null,26,20,40,null,"ISLAND 3",100,2853,28.53,63.362727272727305]
[null,null,21,30,17]
[null,null,28,22,21]
[null,null,29,31,21,null,"ANOVA"]
[null,null,35,24,23,null,"Source of Variation","SS","df","MS","F","P-value","F crit"]
[null,null,20,27,40,null,"Between Groups",225.36000000000058,2,112.68000000000029,2.0014365195320662,0.13695962209702028,3.0261533685653901]
[null,null,32,41,32,null,"Within Groups",16720.969999999998,297,56.299562289562282]
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[null,null,30,39,34,null,"Total",16946.329999999998,299]
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[]
[null,null,"Data - Plotting and Analysis with Excel - Regression Plot",null,null,null,"TOC","Regression Equation from formatting Trendline, Compare to Regression Results on Next Page"]
[]
[null,null,"Parametric Variables Basic Statistics and Graph, Two Continuous Variables"]
[null,null,null,"http://cameron.econ.ucdavis.edu/excel/ex61multipleregression.html"]
[null,null,"Regression","http://www.excel-easy.com/examples/regression.html"]
[null,null,"Assumptions Data - Check"]
[null,null,"a","Relationship between the two variables is linear."]
[null,null,"b","Residuals have a normal distribution."]
[null,null,"c","Constant variance of the Errors."]
[null,null,"Steps"]
[null,null,1,"Graph the relationship."]
[null,null,2,"Use Regression In Analysis TookPak Add-In."]
[null,null,3,"Input Independent Variable as X  (POVERTY) and Dependent Variable as Y (BMI)."]
[null,null,4,"Check Residuals and Plots. For a 'rough' check of normality check normal probability plots."]
[null,null,null,"Results are on next Worksheet Regression Results"]

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[null,null,"Regression of BMI on Poverty;",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,3,75,34.799999999999997]
[null,null,"SUMMARY OUTPUT",null,null,"Conclusion: very slight decrease (non-significant) for BMI by Poverty",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,4,738,34.5]
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[null,null,"Regression Statistics",null,null,"Highlight data and use Analysis ToolPak.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6,399,34.299999999999997]
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[null,null,"R Square",1.6881775474584946E-2,"an indication of how much change in the BMI variable can be explained by the Percent Poverty.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,8,340,38.4]
[null,null,"Adjusted R Square",6.8499568569786702E-3,null,"Definitions - Statistical","http://www.stat.berkeley.edu/~stark/SticiGui/Text/gloss.htm ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,9,174,38.799999999999997]
[null,null,"Standard Error",5.9802539565217314,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,997,35.5]
[null,null,"Observations",100,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11,738,38.6]
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[null,null,"ANOVA",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,13,379,36.5]
[null,null,null,"df","SS","MS","F","Significance F",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,14,738,36.6]
[null,null,"Regression",1,60.183536319605537,60.183536319605537,1.6828230371865676,0.19759537706361649,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15,498,36.799999999999997]
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[null,null,"Total",99,3565.0004000000008,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,17,415,34.5]
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[null,null,null,"Coefficients","Standard Error","t Stat","P-value","Lower 95%","Upper 95%","Lower 95.0%","Upper 95.0%",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,19,459,37.4]
[null,null,"Intercept",40.052254302016898,1.1263952473185919,35.557904205794685,8.1432539517026776E-58,37.816959592800124,42.287549011233672,37.816959592800124,42.287549011233672,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,20,310,38]
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[null,null,"RESIDUAL OUTPUT",null,null,null,null,"PROBABILITY OUTPUT",null,null,null,null,"A NORMAL DISTRIBUTION WOULD BE LINEAR SO THE DISTRIBUTION SHOWS DEVIATION FROM NORMAL",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,25,74,49.9]
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[null,null,"Observation","Predicted BMI","Residuals","Standard Residuals",null,"Percentile","BMI",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,27,94,41]
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