1. Guide to Using Minitab For Basic Statistical Applications To Accompany Business Statistics: A Decision Making Approach, 6th Ed. Chapter 2: Graphs, Charts and Tables - Describing Your Data By Groebner, Shannon, Fry, & Smith Prentice-Hall Publishing Company Copyright, 2005

2. Chapter 2 Minitab Examples Frequency Distributions - Athletic Shoe Survey Histograms- Capital Credit Union Joint Frequency Distributions- Capital Credit Union Joint Relative Frequencies- Capital Credit Union More Examples

3. Chapter 2 Minitab Examples (continued) Bar Charts- Bach, Lombard & Wilson Line Charts- McGregor Vineyards Scatter Diagrams- Personal Computers

4. Frequency Distributions Athletic Shoe Survey Issue: Analyze the data from a survey of 100 college students regarding the number of Nike shoes they own. Objective: Use Minitab to develop a frequency distribution for the number of Nike shoes owned by college students. Data File is SportShoes.mtw

5. Frequency Distributions-Athletic Shoe Survey Open the Minitab file called Sportshoes.mtw File contains 100 observations - Column C5 contains the Number of Nike Shoes owned

6. Frequency Distributions-Athletic Shoe Survey Select Stat the select Tables then Tally

7. Frequency Distributions-Athletic Shoe Survey Select Number of Nike variable – Display Counts

8. Frequency Distributions-Athletic Shoe Survey Resulting Frequency Counts

9. Histograms Capital Credit Union Issue: Analyze credit card balances for Capital Credit Union customers using a frequency distribution and histogram. Objective: Use Minitab to develop a frequency distribution and histogram for credit card balances. Use ten class intervals. Data file is Capital.mtw

10. Histograms-Capital Credit Union Open the Minitab file called Capital.mtw File contains 300 observations - Column C2 contains the balances

11. To determine class width, find minimum and maximum balances Select Calc and Column Statistics Histograms-Capital Credit Union

12. Use Minitab Minimum option to determine smallest value Histograms-Capital Credit Union

13. Minimum value = $99.00 Histograms-Capital Credit Union

14. Use Calc and Column Statistics – Maximum to get the largest account balance = $1,493.00 Histograms-Capital Credit Union

15. Compute Class Width Round Up to $150.00 $90 to less than $240 $240 to less than $390 Class Intervals $390 to less than $540 etc…. Histograms-Capital Credit Union

16. Construct cutpoint column Histograms-Capital Credit Union

17. Select Graph - Histogram Histograms-Capital Credit Union

18. Select Credit Card Account Balance variable then options Histograms-Capital Credit Union

19. Select the Frequency type Use CutPoint type of interval Enter cutpoints column. Histograms-Capital Credit Union

20. Use Edit Attributes to set type of bar and color. Histograms-Capital Credit Union

21. Completed Histogram Histograms-Capital Credit Union

22. Joint Frequency Distributions Capital Credit Union Issue: Analyze the credit card balances by gender of the card holder. Objective: Use Minitab to develop a joint frequency distribution for the credit card balances by gender. Data File is Capital.mtw

23. Joint Frequency Distributions-Capital Credit Union Open the Minitab file called Capital.mtw File contains 300 observations - Column C2 contains the balances, Column C3 contains the gender code

24. First, organize the Credit balances into groups (see Example 2-5) Select Manip – Code – Numeric to Numeric Joint Frequency Distributions-Capital Credit Union

25. Minitab allows only 8 groups – Need to recode twice. Identify variable to be Recoded – indicate where to store new variable Joint Frequency Distributions-Capital Credit Union

26. To create the joint frequency table, use Stat – Tables – Cross Tabulation Joint Frequency Distributions-Capital Credit Union

27. Define variables to used (Credit Card Balances and Gender) Click Counts Joint Frequency Distributions-Capital Credit Union

28. Completed Joint Relative Frequency Distribution (Label rows as desired). Joint Frequency Distributions-Capital Credit Union

29. Objective: Use Minitab to develop a joint relative frequency distribution for the credit card balances by gender. Data File is Capital.mtw Joint Relative Frequencies Capital Credit Union

30. Joint Relative Frequencies-Capital Credit Union Select Stat – Tables – Cross Tabulation

31. Define variables to used (Credit Card Balances and Gender) Click total percents Joint Frequency Distributions-Capital Credit Union

32. Completed Joint Relative Frequency Distribution (Label rows as desired Joint Relative Frequencies-Capital Credit Union

33. Bar Charts Bach, Lombard, & Wilson Issue: An electronics company is being sued on the grounds that female new hires are paid less than male new hires. The law firm needs to analyze salary data to prepare the case. Objective: Use Minitab to develop bar charts for the starting salary data for males and females. Data File is Bach.mtw

34. Bar Charts-Bach, Lombard & Wilson Open the Minitab file called Bach.mtw

35. To construct the bar chart, the stack option must be used. Start by adding the Year M, Year F, Male and Female columns. Bar Charts-Bach, Lombard & Wilson

36. Use the Manip – Stack option to construct three new variables, Year, Starting Salary and Gender. Bar Charts-Bach, Lombard & Wilson

37. Three new variables, Year, Starting Salary and Gender. Bar Charts-Bach, Lombard & Wilson

38. Select Graph - Chart Bar Charts-Bach, Lombard & Wilson

39. Select Year, C14, for X variable Choose: For each - Group and Group variables - Gender Select Starting Salary, C15, for Y variable Bar Charts-Bach, Lombard & Wilson

40. Use Edit Attributes to set Back Color and Fill Type Bar Charts-Bach, Lombard & Wilson

41. Bar Chart for Starting Salaries Bar Charts-Bach, Lombard & Wilson

42. Bar Charts- Bach, Lombard, & Wilson (continued) Issue: An electronics company is being sued on the grounds that female new hires are paid less than male new hires. The law firm needs to analyze salary data to prepare the case. Objective: Use Minitab to develop bar charts for the percent of males and females hired with MBAs. Data File is Bach.mtw

43. Open File Bach.mtw Bar Charts-Bach, Lombard & Wilson

44. To construct the bar chart, the stack option must be used. Start by adding the Year M, Year F, Male and Female columns. Bar Charts-Bach, Lombard & Wilson

45. Use the Manip – Stack option to construct three new variables, Year, Percent with MBA, and Gender. Bar Charts-Bach, Lombard & Wilson

46. Three new variables, Year, Percent with MBA and Gender. Bar Charts-Bach, Lombard & Wilson

47. Select Graph - Chart

48. Select Year, C14, for X variable Choose: For each - Group and Group variables - Gender Select Percent with MBA, C15, for Y variable Bar Charts-Bach, Lombard & Wilson

49. Use Edit Attributes to set Back Color and Fill Type Bar Charts-Bach, Lombard & Wilson

50. Bar Chart for Percent with MBA Degrees Bar Charts-Bach, Lombard & Wilson

51. Line Charts- McGregor Vineyards Issue: Analyze the sales and profits data over time. Objective: Use Minitab to develop line charts for weekly sales and profits. Data File is McGregor.mtw

52. Line Charts-McGregor Vineyards Open the Minitab file called McGregor.mtw File contains 20 weeks of historical data

53. Select Time Series Plot. Click on Graph Line Charts-McGregor Vineyards

54. Select Variable (Sales) to be graphed as Y Variable Set Display to Symbol and Connect Click on Time Scale - Index Line Charts-McGregor Vineyards

55. Use Edit Attributes to indicate type of Markers (Solid Circle), Color (Blue) and Size (2.0) Line Charts-McGregor Vineyards

56. Use Annotation to Add Titles, etc. to chart Line Charts-McGregor Vineyards

57. Enter Desired Title and Define Font, etc. Line Charts-McGregor Vineyards

58. Finished Line Chart for Sales – Now repeat the process for the Profit Variable. Line Charts-McGregor Vineyards

59. Next, graph both variables on the same page Select Graph – Layout Then enter Titles etc. Line Charts-McGregor Vineyards

60. Information entered here will apply to the page. Line Charts-McGregor Vineyards

61. Select Graph- Time Series Plot Line Charts-McGregor Vineyards

62. Create Sales Graph as before Line Charts-McGregor Vineyards

63. To set up first graph on page, use Regions - Figure Line Charts-McGregor Vineyards

64. Define location of first graph Line Charts-McGregor Vineyards

65. Now create the Profit graph. Use Graph – Time Series and select Profit as Y variable Line Charts-McGregor Vineyards

66. Next, use Regions – Figures and Define position within page for the Profit graph Line Charts-McGregor Vineyards

67. Select Graph – End Layout Line Charts-McGregor Vineyards

68. Completed Line Charts Line Charts-McGregor Vineyards

69. Select Time Series Plot. Click on Graph Line Charts-McGregor Vineyards

70. Select Sales and Profit as the Y variables. Click on Frame Click on Time Scale - Index Line Charts-McGregor Vineyards

71. Select Multiple Graphs Line Charts-McGregor Vineyards

72. Select Overlay on same page. Line Charts-McGregor Vineyards

73. Completed Line Charts Line Charts-McGregor Vineyards

74. Scatter Diagrams- Personal Computers Issue: Analyze the relationship between PC sales price and the processing speed of the PC Objective: Use Minitab to develop a scatter diagram for PC price and speed. Data File is Computers.mtw

75. Scatter Diagrams- Personal Computers Open the Minitab file called Computers.mtw File contains data for 36 PCs

76. Click on the Graph, select Character Graphs and then Scatter plot Scatter Diagrams- Personal Computers

77. In Y enter Price, in X enter Processor Speed, then click OK. Scatter Diagrams- Personal Computers

78. Completed Scatter Diagram Scatter Diagrams- Personal Computers