All statistical analysis is based on a set of assumptions. These checklists help you review the assumptions, and make sure you have picked a useful test. The checklists appear twice in this guide: Once here with all the checklists together, and again as part of the explanation for each individual test.

Two group comparison tests (t tests and nonparametric tests)

Unpaired t test

Paired t test

Ratio t test

Mann-Whitney test

Kolmogorov-Smirnov test

Wilcoxon matched pairs test

ANOVA and nonparametric tests

Ordinary one-way ANOVA

Repeated measures one-way ANOVA

Kruskal-Wallis test

Friedman's test

Ordinary two-way ANOVA

Repeated measures two-way ANOVA

Three-way ANOVA

Survival analysis

Kaplan-Meier survival analysis

Cox proportional hazards regression

Data exploration and processing

Descriptive statistics

Outlier analysis

Correlation analysis

Bland-Altman analysis

ROC curve analysis

Contingency table analyses

Principal Component Analysis (PCA)

Nested/Hierarchical analyses

Nested t test

Nested one-way ANOVA

Regression and curve fitting

Simple linear regression

Simple logistic regression

Nonlinear regression - fitting a model

Nonlinear regression - comparing fits

Nonlinear regression - interpolating from a fit

Interpolating from a standard curve

Multiple linear regression

Multiple logistic regression