Excel Statistical Analysis - Cross Tabulation, Visualizations, and Logical Tests, Simpson’s Paradox

Excel Statistical Analysis - Cross Tabulation, Visualizations, and Logical Tests, Simpson’s Paradox

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) Visualize Cross Tab Report with 1) Clustered Column Chart (Emphasis Legend Variable) or Stacked Column Chart (Emphasis Horizontal Axis Variable)

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11 of 22

) Visualize Cross Tab Report with 1) Clustered Column Chart (Emphasis Legend Variable) or Stacked Column Chart (Emphasis Horizontal Axis Variable)

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Classroom Contents

Excel Statistical Analysis - Cross Tabulation, Visualizations, and Logical Tests, Simpson’s Paradox

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  1. 1 ) Introduction
  2. 2 ) Data Set and Variables Used for Cross Tabulation
  3. 3 ) What is a Cross Tabulation Report, also known as a “Cross Tab”?
  4. 4 ) What is an AND Logical Test?
  5. 5 ) How an AND Logical Test works against a Table with Records and Fields
  6. 6 ) Determining Number of Classes and Class Width for Grouping Numbers into Counting Categories
  7. 7 ) Build Cross Tabulated Report with Quantitative and Categorical Data
  8. 8 ) What to do if PivotTable Field List does not show up
  9. 9 ) Three Amazing Parts to a Cross Tabulated Report
  10. 10 ) See Relationship Between Two Variables Based on the Count (Frequency)
  11. 11 ) Visualize Cross Tab Report with 1) Clustered Column Chart (Emphasis Legend Variable) or Stacked Column Chart (Emphasis Horizontal Axis Variable)
  12. 12 ) Build Clustered Column Chart
  13. 13 ) Copy Chart with keyboard: Ctrl + D
  14. 14 ) Difference Between Clustered Column Chart and Stacked Column Chart
  15. 15 ) Create % Frequency Cross Tab Report
  16. 16 ) PivotTable, Show Values As, % of Grand Total Calculation
  17. 17 ) Custom Number Formatting to hide zero values for % of Grand Total Calculation
  18. 18 ) Page Setup to Print Out Two Pages from One Worksheet
  19. 19 ) Practice Cross Tab and Visualizations for the Variables Age and Boomerang Flight Range
  20. 20 ) Simpson’s Paradox and why it is important for understanding why people can claim different conclusions based in the same data!
  21. 21 ) Conclusions
  22. 22 ) Closing and Video Links

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