1. x y Exploratory data analysis Cross tabulations and scatter diagrams

2. Exploratory data analysis consists of simple arithmetic and easy-to-draw graphs that can be used to summarize data quickly

3. The Stem and Leaf Display A stem-and-leaf display shows both the rank order A stem-and-leaf display shows both the rank order and shape of the distribution of the data. and shape of the distribution of the data. It is similar to a histogram on its side, but it has the It is similar to a histogram on its side, but it has the advantage of showing the actual data values. advantage of showing the actual data values. The first digits of each data item are arranged to theThe first digits of each data item are arranged to the left of a vertical line. left of a vertical line. To the right of the vertical line we record the lastTo the right of the vertical line we record the last digit for each item in rank order. digit for each item in rank order.

4. Example: Hudson Auto Repair The manager of Hudson Auto would like to have a better understanding of the cost of parts used in the engine tune-ups performed in the shop. She examines 50 customer invoices for tune-ups. The costs of parts, rounded to the nearest dollar, are listed on the next slide.

5. Stretched Stem and Leaf If we believe the original stem-and-leaf display has condensed the data too much, we can stretch the display by using two stems for each leading digit(s).If we believe the original stem-and-leaf display has condensed the data too much, we can stretch the display by using two stems for each leading digit(s). Whenever a stem value is stated twice, the first value corresponds to leaf values of 0 - 4, and the second value corresponds to leaf values of 5 - 9.Whenever a stem value is stated twice, the first value corresponds to leaf values of 0 - 4, and the second value corresponds to leaf values of 5 - 9.

6. Sample parts cost for 50 tune-ups

7. 5 6 7 8 9 10 2 7 2 2 2 2 5 6 7 8 8 8 9 9 1 1 2 2 3 4 4 5 5 5 6 7 8 9 9 9 0 0 2 3 5 8 9 A Stem and Leaf Display for the Auto Parts Cost data 1 3 7 7 7 8 9 1 4 5 5 9 Stem Leaf

8. 5 6 7 8 9 10 Stretched Stem and Leaf for Hudson Auto parts data 7 2 5 6 7 8 8 8 9 9 2 2 1 1 2 2 3 4 4 5 5 5 6 7 8 9 9 9 0 0 2 3 5 8 9 7 7 7 8 9 1 3 5 5 9 1 4

9. Leaf Units A single digit is used to define each leaf. In the preceding example, the leaf unit was 1. But it does not have to be 1. The leaf unit can be 0.1, 10, or 100.

10. Example: Leaf unit =.1 Suppose we have the following data: 8.6 11.7 9.4 10.2 11.0 8.8 The leaf unit is.1. Thus: 8 9 10 11 6 8 4 2 0 7

11. Example: Leaf Unit = 10 If we have data with values such as 16 17 18 19 Leaf Unit = 10 8 1 9 0 3 1 7 1806171719741791168219101838 a stem-and-leaf display of these data will be The 82 in 1682 is rounded down to 80 and is represented as an 8.

12. Crosstabulations and Scatter Diagrams So far we have considered only ONE variable (parts cost, audit time). But often we are interested in tabular and graphical data that uncover the relationship between TWO variables.

13. Crosstabulations A tabular method for summarizing the data for two variables simultaneously Crosstabulations can be used when one variable is qualitative and the other is quantitative, one variable is qualitative and the other is quantitative, both variables are qualitative, or both variables are qualitative, or both variables are quantitative. both variables are quantitative.

14. Price Range Colonial Log Split Split A-Frame Total < $99,000 > $99,000 18 6 19 12 55 45 30 20 35 15 Total 100 12 14 16 3 Home Style Home Style Example: Finger Lakes Homes n Crosstabulation The number of Finger Lakes homes sold for each style and price for the past two years is shown below. quantitative variable variable qualitative

15. Crosstabulation: Row or Column Percentages Converting the entries in the table into row percentages or column percentages can provide additional insight about the relationship between the two variables.

16. Price Range Colonial Log Split A-Frame Total < $99,000 > $99,000 32.73 10.91 34.55 21.82 100100 Note: row totals are actually 100.01 due to rounding. 26.67 31.11 35.56 6.67 Home Style Home Style (Colonial and > $99K)/(All >$99K) x 100 = (12/45) x 100 Crosstabulation: Row Percentages

17. Price Range Colonial Log Split A-Frame < $99,000 > $99,000 60.00 30.00 54.29 80.00 40.00 70.00 45.71 20.00 Home Style Home Style 100 100 100 100 Total (Colonial and > $99K)/(All Colonial) x 100 = (12/30) x 100 Crosstabulation: Column Percentages

18. Using Excel’s PivotTable Report to Construct a Crosstabulation Step 3 When the Create Pivot Table dialog box appears: Choose Select a table or range Enter A1:C301 in the Table/Range box Select New Worksheet Click OK Step 2: In the Tables group, click the icon above PivotTable Step 1: Click on the Insert tab on the ribbon Chapter 2 file Restaurant.xlsx

19. Using the Pivot table Field List Step 1: In the PivotTable Field List, go to Choose Fields to add to report: –Drag the Quality Rating Field to the Row Labels area. –Drag the ($)Meal Price field to the Column Labels area. –Drag the Restaurant field to the Values area. Step 2: Click Sum of Restaurant in the Values area –Select Value Field Settings. Step 3: When the Value Field Settings dialog box appears: –Under Summarize value field by, choose Count –Click OK

20. Finalizing the PivtotTable Report Step 1: Right-click in cell B4 (or any other cell containing meal prices) –Select Group Step 2: When the Grouping dialog box appears: –Enter 10 in the Starting at box –Enter 49 in the Ending at box –Enter 10 in the By box Step 3: Right-click on Excellent in cell A5 –Choose Move –Select Move “Excellent” to End Step 4: Close the PivotTable Field List box

21. Crosstabulation for the LA Restaurant Example Meal Price ($) Quality Rating10-1920-2930-3940-49 Grand Total Good42402 84 Very Good3464466150 Excellent214282266 Grand Total781187628300 Chapter 2 file Restaurant.xlsx

22. Crosstabulation: Simpson’s Paradox Simpson’ Paradox: In some cases the conclusions Simpson’ Paradox: In some cases the conclusions based upon an aggregated crosstabulation can be based upon an aggregated crosstabulation can be completely reversed if we look at the unaggregated completely reversed if we look at the unaggregated data. data. We must be careful in drawing conclusions about the We must be careful in drawing conclusions about the relationship between the two variables in the relationship between the two variables in the aggregated crosstabulation. aggregated crosstabulation. Data in two or more crosstabulations are often Data in two or more crosstabulations are often aggregated to produce a summary crosstabulation. aggregated to produce a summary crosstabulation.

23. Judge Verdict KendallLuckettTotal Upheld Reversed 129 (86%) 21 (14%) 110 (88%) 15 (12%) 239 36 Total (%) 150 (100%)125 (100%)275 You might think Luckett is the better Judge. However, a larger share of Kendall’s cases were in municipal court—where the likelihood of being overturned on appeal is higher.

24. The general pattern of the plotted points suggests the The general pattern of the plotted points suggests the overall relationship between the variables. overall relationship between the variables. One variable is shown on the horizontal axis and the One variable is shown on the horizontal axis and the other variable is shown on the vertical axis. other variable is shown on the vertical axis. A scatter diagram is a graphical presentation of the A scatter diagram is a graphical presentation of the relationship between two quantitative variables. relationship between two quantitative variables. Scatter Diagram and Trendline A trendline is an approximation of the relationship. A trendline is an approximation of the relationship.

25. A Positive Relationship Y X 0

26. A Negative Relationship Y X 0

27. No Apparent Relationship Y X 0

28. Example: Panthers Football Team Scatter Diagram The Panthers football team is interested in investigating the relationship, if any, between interceptions made and points scored. 1 3 2 1 3 14 24 18 17 30 x = Number of Interceptions y = Number of Points Scored Points Scored

29. Scatter Diagram y x Number of Interceptions Number of Points Scored 5 10 15 20 25 30 035 12304

30. n Insights Gained from the Preceding Scatter Diagram The relationship is not perfect; all plotted points in The relationship is not perfect; all plotted points in the scatter diagram are not on a straight line. the scatter diagram are not on a straight line. Higher points scored are associated with a higher Higher points scored are associated with a higher number of interceptions. number of interceptions. The scatter diagram indicates a positive relationship The scatter diagram indicates a positive relationship between the number of interceptions and the between the number of interceptions and the number of points scored. number of points scored. Example: Panthers Football Team

31. Using Excel’s Chart Wizard to Construct a Scatter Diagram and Trendline n Formula Worksheet (showing data entered)

32. Step 1 Select cells A1:B6 Step 2 Click the Chart Wizard button on standard toolbar Step 3 When the Chart Wizard - Step 1 of 4 - Chart Type dialog box appears: dialog box appears: Choose XY (Scatter) in the Chart Type list Choose XY (Scatter) in the Chart Type list Choose Scatter from the Chart subtype display Choose Scatter from the Chart subtype display Click Next > Click Next > Using Excel’s Chart Wizard to Construct a Scatter Diagram... continue

33. Using Excel’s Chart Wizard to Construct a Scatter Diagram Step 4 When the Chart Wizard - Step 2 of 4 - Chart Source Data dialog box appears: Source Data dialog box appears: Click Next > Click Next >... continue

34. Using Excel’s Chart Wizard to Construct a Scatter Diagram Step 5 When the Chart Wizard - Step 3 of 4 – Chart Options dialog box appears: Options dialog box appears: Select the Titles tab and then Select the Titles tab and then Type Scatter Diagram for the Panthers Type Scatter Diagram for the Panthers in the Chart title: box in the Chart title: box Type Number of Interceptions in the Type Number of Interceptions in the Value (X) axis: box Value (X) axis: box Type Number of Points Scored in the Type Number of Points Scored in the Value (Y) axis: box Value (Y) axis: box... continue

35. Step 5 (continued) Select the Legend tab and then Select the Legend tab and then Remove the check in the Show Legend box Click Next > Click Next > Using Excel’s Chart Wizard to Construct a Scatter Diagram Step 6 When the Chart Wizard – Step 4 of 4 - Chart Location dialog box appears: Location dialog box appears: Specify a location for the new chart Specify a location for the new chart Click Finish Click Finish

36. Using Excel’s Chart Wizard to Construct a Scatter Diagram

37. n Adding a Trendline Using Excel’s Chart Wizard to Construct a Scatter Diagram and Trendline Step 3 When the Add Trendline dialog box appears: Select the Type tab and then Select the Type tab and then Choose Linear from the Trend/ Choose Linear from the Trend/ Regression type display Regression type display Click OK Click OK Step 2 Choose the Add Trendline option Step 1 Position the mouse pointer over any data point in the scatter diagram and right click point in the scatter diagram and right click

38. Using Excel’s Chart Wizard to Construct a Scatter Diagram and Trendline

39. Scatter Diagram for the Stereo and Sound Equipment Store Example

40. Scatter Diagram for the Stereo and Sound Equipment Store Example—with a Trendline