OUTLINE FOR CHAPTER
17
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
- Chi-Square Tests: An Introduction
- Different chi-square tests
- Chi-square notation and language
- Three Main Types of Chi-Square Tests
- The one-sample chi-square test
- The independent-samples chi-square test
- Chi square as a correlational probe
- Issues Related to Chi Square
- Post hoc tests
- Small amounts of data
- Yate's correction for continuity
- McNemar's Chi-Square
- 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 z-Tests When Dealing With Proportions
- A Few Final Thoughts
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