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Histograms and Charts

Histograms and Charts. FSE 200. Why Illustrate Data?. When describing a set of scores, you will want to use two things… One score for describing the group of data Measure of Central Tendency Measure of how diverse or different the scores are from one another Measure of Variability

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Histograms and Charts

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  1. Histograms and Charts FSE 200

  2. Why Illustrate Data? • When describing a set of scores, you will want to use two things… • One score for describing the group of data • Measure of Central Tendency • Measure of how diverse or different the scores are from one another • Measure of Variability • However, a visual representation of these measures is much more effective when examining distributions

  3. Ten Ways to a Great Figure • Minimize the “junk” • Plan before you start creating • Say what you mean…mean what you say • Label everything • Communicate one idea • Keep things balanced • Maintain the scale in the graph • Remember…simple is best • Limit the number of words • The chart should convey what you want to say

  4. Parts of a Chart

  5. Frequency Distributions • Method of tallying and representing the number of times a certain score occurs • Group scores into interval classes/ranges • Creating class intervals • Range of 2, 5, 10, or 20 data points • 10-20 data points cover entire range of data • List class interval with a multiple of the interval • Largest interval goes at the top

  6. Histograms Class intervals along the x axis

  7. Histograms A hand drawn histogram

  8. Histograms Tallying scores

  9. Excel’s Histogram Tool Histogram data

  10. Excel’s Histogram Tool Creating bins

  11. Excel’s Histogram Tool The data analysis dialog box

  12. Completed Histogram The completed histogram dialog box

  13. Completed Histogram The finished ToolPak histogram

  14. Frequency Polygon • “a continuous line that represents the frequencies of scores within a class interval”

  15. Frequency Polygon A hand drawn frequency polygon

  16. Fat and Skinny of Frequency Distributions • Distributions can be different in four ways… • Average value • Variability • Skewness • Kurtosis

  17. Average Value How distributions can differ in their average score

  18. Variability How distributions can differ in variability

  19. Skewness • Positive and negative skewness Degree of skewness in different distributions

  20. Kurtosis Degrees of kurtosis in different distributions

  21. Excellent Charts • Column chart Creating a simple column chart

  22. How to Create Charts in Excel The All Chart Types dialog box

  23. How to Create Charts in Excel • Click Chart Type • Click Finish A simple column chart

  24. Other Cool Charts A line chart showing trend over time

  25. Other Cool Charts A pie chart of voters by party

  26. Acknowledgement The majority of the content of these slides were from the Sage Instructor Resources Website

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