1. Guide to Using Minitab For Basic Statistical Applications To Accompany Business Statistics: A Decision Making Approach, 6th Ed. Chapter 3: Describing Data Using Numerical Measures By Groebner, Shannon, Fry, & Smith Prentice-Hall Publishing Company Copyright, 2005

2. Chapter 3 Minitab Examples  Population Mean Population Mean Foster City Hotel  Mean, Median,and Mode Mean, Median,and Mode Weigh-In-Motion  Percentiles and Quartiles Percentiles and Quartiles Weigh-In-Motion  Box and Whisker Plots Box and Whisker Plots Weigh-In Motion More Examples

3. Chapter 3 Minitab Examples (continued) ä Measures of Variation Measures of Variation Weigh-In-Motion ä Empirical Rule Empirical Rule Burger N’ Brew

4. Population Mean Foster City Hotel Issue: Determine the mean nightly revenue for the Foster City Hotel. Objective: Use Minitab to calculate the population mean revenue Data File is FosterCity.mtw

5. Open the Minitab file called FosterCity.mtw Population Mean – Foster City Hotel

6. Select Calc – Column Statistics Population Mean – Foster City Hotel

7. Click on Mean and define the Input Variable for analysis Population Mean – Foster City Hotel

8. Population Mean Population Mean – Foster City Hotel

9. Second method: Select Stat, then Basic Statistics then Display Descriptive Statistics Population Mean – Foster City Hotel

10. Select the variables to analyze Population Mean – Foster City Hotel

11. Population Means Note, other output is also provided Population Mean – Foster City Hotel

12. Mean, Median and Mode Weigh-In-Motion Issue: Does the WIM scale produce gross weights that are close to the POE weights? Objective: Use Minitab to develop histograms for the weights from each scale and to compute the mean, median, and mode for each scale. The data file is Trucks.mtw.

13. Open the data file called Trucks.mtw Data File contains 200 trucks. Mean, Median, and Mode – Weigh-In-Motion

14. Construct cutpoints column. Mean, Median, and Mode – Weigh-In-Motion

15. Select Graph – Histogram to form the histograms for the POE and WIM gross weights Mean, Median, and Mode – Weigh-In-Motion

16. Identify variables to be graphed and set Display to Bar Next, use Options to set class widths Mean, Median, and Mode – Weigh-In-Motion

17. For Type of Intervals select Cutpoint, in Definitioin of intervals, insert Cutpoint column. Mean, Median, and Mode – Weigh-In-Motion

18. Use Edit Attributes to Set Graph Colors, etc. Mean, Median, and Mode – Weigh-In-Motion

19. Use Annotate to Set Graph Titles, etc. Mean, Median, and Mode – Weigh-In-Motion

20. To modify X axis labeling, use Frame - Tic Mean, Median, and Mode – Weigh-In-Motion

21. POE Gross Weight Histogram Completed Mean, Median, and Mode – Weigh-In-Motion

22. Repeat the process for WIM gross weights. Then compute mean, median and modes for both variables Mean, Median, and Mode – Weigh-In-Motion

23. Select Stat – then select Basic Statistics and Display Descriptive Statistics Mean, Median, and Mode – Weigh-In-Motion

24. Select the variables to be analyzed Mean, Median, and Mode – Weigh-In-Motion

25. Mean and Median Minitab does not compute the mode Mean, Median, and Mode – Weigh-In-Motion

26. Percentiles and Quartiles Weigh-In-Motion Issue: Determine Percentiles and Quartiles for WIM and POE Gross Weights Objective: Use Minitab to calculate 10 th percentiles and 1 st and 3 rd quartiles for weigh-in-motion data. Data file is Trucks.mtw

27. Open the data file called Trucks.mtw Data File contains 200 trucks. Percentiles and Quartiles - Weigh-In-Motion

28. Select Stat – then Basic Statistics – then Display Descriptive Statistics Percentiles and Quartiles - Weigh-In-Motion

29. Define Variables for analysis Percentiles and Quartiles - Weigh-In-Motion

30. 1 st and 3 rd quartiles for WIM and POE gross weights Percentiles and Quartiles - Weigh-In-Motion

31. To obtain percentiles, Select Stat – Reliability/Survival –Parametric Dist Analysis Right Cens… Percentiles and Quartiles - Weigh-In-Motion

32. Identify Variables for analysis – then click on Estimate Percentiles and Quartiles - Weigh-In-Motion

33. Enter desired percentiles Percentiles and Quartiles - Weigh-In-Motion

34. WIM Gross Weight 10 th Percentile 1 st and 3 rd quartiles WIM Gross Weight Percentiles and Quartiles - Weigh-In-Motion

35. POE Gross Weight 10 th Percentile 1 st and 3 rd quartiles POE Gross Weight Percentiles and Quartiles - Weigh-In-Motion

36. Box and Whisker Plots Weigh-In-Motion Issue: Analyze how WIM and POE gross weights compare. Objective: Use Minitab to develop a Box and Whisker Plot for comparing WIM and POE gross weights. Data file is Trucks.mtw

37. Open the data file called Trucks.mtw Data File contains 200 trucks. Box and Whisker Plots - Weigh-In-Motion

38. Click on Graph – then select Character Graphs – then select Boxplot Box and Whisker Plots - Weigh-In-Motion

39. Enter Variable for Analysis (WIM Gross Weight) Box and Whisker Plots - Weigh-In-Motion

40. Box and Whisker Plot – WIM Gross Weight Box and Whisker Plots - Weigh-In-Motion

41. Repeat process for Box and Whisker Plot – POE Gross Weight Box and Whisker Plots - Weigh-In-Motion

42. Measures of Variation Weigh-In-Motion Issue: Understand the Variation in POE and WIM gross Weights Objective: Use the Minitab to compute various measures of variation in WIM and POE Gross Weights Data file is Trucks.mtw

43. Open the data file called Trucks.xls Data File contains 200 trucks. Measures of Variation - Weigh-In-Motion

44. Click on Stat tab – then select Basic Statistics – then choose Display Descriptive Statistics Measures of Variation - Weigh-In-Motion

45. Define variables to be included in the analysis Measures of Variation - Weigh-In-Motion

46. Standard Deviation, Minimum and Maximum values Measures of Variation - Weigh-In-Motion

47. Empirical Rule Burger N’ Brew Issue: Analyze the Phoenix Burger Sales Distribution Objective: Use the Minitab to compute graphs and numerical measures necessary for using the empirical rule to analyze sales at Burger N’ Brew Data file is BurgerNBrew.mtw

48. Open the data file called BurgerNBrew.mtw Data File contains sales for 365 days. Empirical Rule – Burger N’ Brew

49. This tutorial will demonstrate a different way to develop a Histogram using class widths of 2. Select Graph - Histogram Empirical Rule – Burger N’ Brew

50. Identify variable for analysis – Then use Options to specify classes Empirical Rule – Burger N’ Brew

51. Use class widths of size 2 Empirical Rule – Burger N’ Brew

52. Use Annotate to specify titles etc. Empirical Rule – Burger N’ Brew

53. Finished Histogram – Bell Shaped Distribution Empirical Rule – Burger N’ Brew

54. To compute numerical measures – Click Stat – Basic Statistics – Display Descriptive Statistics Empirical Rule – Burger N’ Brew

55. Identify variable for analysis Empirical Rule – Burger N’ Brew

56. Mean and Standard Deviation Empirical Rule: 68% within 15.12 + (1)3.13 95% within 15.12 + (2)3.13 99.7% within 15.12 + (3)3.13) Empirical Rule – Burger N’ Brew