Contents	Introduction	Descriptive	Hypothesis	Tables	Appendix

Part III Hypothesis Testing

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Hypothesis Testing Basics
Difference of Means
Difference of Proportions
Chi-square
Correlation
Sample Size Estimation

Part III provides techniques for using a sample (a subset of a population) to describe a population. Hypothesis testing basics present the essential features involved in conducting statistical tests. A common approach for interval/ratio level data is the difference of means hypothesis test. For nominal data, the difference of proportions test is often used when comparing two groups. Chi-square is a common test when comparing two or more groups with nominal or ordinal level data. The section on correlation introduces measures of association between two interval/ratio level measures and the use of bivariate regression to make predictions. The section on sample size estimation presents two examples of power analysis.