This document provides an overview of common parametric and nonparametric statistical tests, including their purposes and null hypotheses. Parametric tests assume normally distributed data, while nonparametric tests do not. Some key tests mentioned include the independent samples t-test and Mann-Whitney U test for comparing two independent groups, paired samples t-test and Wilcoxon signed-rank test for comparing two related groups, one-way ANOVA and Kruskal-Wallis test for comparing more than two independent groups, and chi-square tests for analyzing relationships between categorical variables.