1. Guide to Using Minitab 14 For Basic Statistical Applications To Accompany Business Statistics: A Decision Making Approach, 8th Ed. Chapter 17: Introduction to Nonparametric Statistics By Groebner, Shannon, Fry, & Smith Prentice-Hall Publishing Company Copyright, 2011

2. Chapter 17 Minitab Examples Mann-Whitney Large Sample Test Mann-Whitney Large Sample TestMann-Whitney Large Sample TestMann-Whitney Large Sample Test Future-Vision Future-Vision Kruskal-Wallis Test Kruskal-Wallis Test Kruskal-Wallis Test Kruskal-Wallis Test Amalgamated Sugar

3. Mann-Whitney Large Sample Test - Future-Vision Issue: The managers for a local Network television affiliate are preparing for a national television advertising conference. The managers believe that the median household income for cable subscribers is less than the median for those who do not subscribe. Objective: Use Minitab to determine if the median household income for cable subscribers is less than those who do not subscribe to cable. Data file is Future-Vision-Ranks.MTW

4. Open file Future-Vision-Ranks.MTW Mann-Whitney Large Sample Test – Future-Vision

5. Select Stat – then Nonparametrics – then Mann- Whitney Mann-Whitney Large Sample Test – Future-Vision

6. Specify First and Second Sample Columns and use “Great than” for the alternative hypothesis. Mann-Whitney Large Sample Test – Future-Vision

7. Minitab Results Mann-Whitney Large Sample Test – Future-Vision

8. Kruskal-Wallis Test - Amalgamated Sugar Issue: The company is interested in determining whether there is a difference in down-time between its three operational shifts. Objective: Use Minitab to determine whether the relationship between the two measures is statistically significant. Data file is Amalgamated.MTW

9. Open File Amalgamated.MTW Kruskal-Wallis Test – Amalgamated Sugar

10. The data will have to be reorganized, Click on Data, then Stack and finally Columns. Kruskal-Wallis Test – Amalgamated Sugar

11. Define columns to be stacked into the new column and the column containing the group identifier.

12. The data is now arranged as needed to be analyzed. Kruskal-Wallis Test – Amalgamated Sugar

13. Click on Stat, then Nonparametrics and finally Kruskal-Wallis. Kruskal-Wallis Test – Amalgamated Sugar

14. Identify the column containing the data and the group identifier. Kruskal-Wallis Test – Amalgamated Sugar

15. The output gives the H Test Statistic and the p-value. Kruskal-Wallis Test – Amalgamated Sugar