OUTLINE FOR CHAPTER
17 IN THE 6^{th} EDITION
Inferences on Percentages, Proportions,
and Frequencies
 Introduction
 A review of the techniques designed for quantitative variables
 Three ways to measure "group membership"
 Nominal variables
 The Sign Test
 The meaning of "+" and "" signs
 The sign test's null hypothesis
 Three appropriate "settings"
 The Binomial Test
 Similarities between the binomial and sign tests
 The binomial test's null hypothesis
 Fisher's Exact Test
 The appropriate "setting"
 The null hypothesis in Fisher's Exact Test
 Discussing its outcome using "correlational" terms
 ChiSquare Tests: An Introduction
 Different chisquare tests
 Chisquare notation and language
 Three Main Types of ChiSquare Tests
 The onesample chisquare test
 The independentsamples chisquare test
 Chi square as a correlational probe
 A test of "independence"
 Phi
 Contingency coefficient
 Cramer's V
 Issues Related to Chi Square
 Post hoc tests
 Small amounts of data
 Yate's correction for discontinuity
 McNemar's ChiSquare
 The appropriate "setting"
 Different labels
 The null hypothesis in McNemar's test
 The Cochran Q Test
 The appropriate "setting"
 The null hypothesis in the Cochran Q test
 Post hoc tests if Q is significant
 The Use of zTests When Dealing With Proportions
 Cases where a ztest produces identical results as some other test
 The use of a ztest as a "large scale approximation"
 A Few Final Thoughts
 Keep the null hypothesis in mind
 Inflated Type I error rates can occur
 Statistical signficance may not indicate practical significance
