Analyzing categorical data

Summarizing quantitative data

Modeling data distributions

Exploring bivariate numerical data

Study design

Probability

Counting, permutations, and combinations

Random variables

Sampling distributions

Confidence intervals

Significance tests (hypothesis testing)

Two-sample inference for the difference between groups

Inference for categorical data (chi-square tests)

Advanced regression (inference and transforming)

Analysis of variance (ANOVA)