Main Module 5
Presenting, Describing and Inferring from a Sample of Categorical Data

Learning Objectives

At the end of the module, the student will:

Understand basic probability concepts.

Know how to set up and interpret a cross-classification or contingency table.

Using Microsoft Excel, know how to:

- Generate and interpret a confidence interval for a proportion

- Develop and interpret a hypothesis test for a proportion

- Develop and interpret a hypothesis test for a proportion

- Generate and interpret a confidence interval for the difference between two proportions

- Generate and interpret Z test for the difference between two proportions from a contingency table

- Generate and interpret Chi-Square tests for the difference between multiple proportions from a contingency table

Module Notes

The following sub modules contain summary notes for the three content topic areas of Module 5:

· Module 5.1: Simple, Joint, Marginal and Conditional Probabilities

· Module 5.2: Confidence Interval Estimation and Hypothesis Testing for a Proportion

· Module 5.3: Multiple Sample Tests with Categorical Data

Readings

Anderson, D., Sweeney, D., & Williams, T. (2010). Essentials of Modern Business Statistics with Microsoft Excel. Cincinnati, OH: South-Western.

- Chapter 4, Chapter 5 (Just skim), Chapter 7 (Section 7.6), Chapter 8 (Section 8.4), Chapter 11.

Ken Black. Business Statistics for Contemporary Decision Making. Fourth Edition, Wiley.

- Chapter 4 & 12

D. Groebner, P. Shannon, P. Fry & K. Smith. Business Statistics: A Decision Making Approach, Fifth Edition, Prentice Hall.

- Chapter 4 and 14