IN THIS PART …

Compare averages between two or more groups using t tests, ANOVAs, and nonparametric tests.

Compare proportions between two or more groups using the chi-square and Fisher Exact tests.

Analyze fourfold tables (also known as 2x2 cross-tabs) to estimate relative risk using odds ratios,

cumulative incidence ratios, and other useful measures of association.

Compare event rates, also known as person-time data, and estimate prevalence and incidence

rates.

Infer causal relationships between the predictors and the outcome from the results of your

regression model.