# Hypothesis tests

CogStat supports a series of hypothesis tests.

- For the Bayesian tests, CogStat uses the default priors as in JASP, so that the two software gives the same result (unless you modify the priors in JASP).
- See more details about the special version of some hypothesis tests on the Differences in calculations between CogStat and other programs page.

## Available tests

Currently CogStat supports the following hypothesis tests (tests in parenthesis are included in several analysis):

- Shapiro-Wilk test
- One-sample t-test
- with Bayesian one-sample t-test

- Wilcoxon signed-rank test

Explore relation of a variable pair:

- Pearson correlation hypothesis test
- with Bayes Factor for Pearson correlation

- Spearman correlation hypothesis test
- Chi-squared test

Compare repeated measures variables:

- (Shapiro-Wilk test)
- paired t-test
- with Bayesian paired t-test

- paired Wilcoxon test
- repeated measures ANOVA
- Mauchly’s sphericity test (assumption)
- Holm-Bonferroni corrected post-hoc tests
- Friedman test
- Durbin-Conover test
- McNemar’s test
- Cochran Q-test

- (Shapiro-Wilk test)
- modified t-test
- Mann-Whitney test
- Levene’s test (assumption)
- two-samples t-test
- with Bayesian two-samples t-test

- Welch’s t-test
- one-way ANOVA
- post hoc Tukey’s HSD tests
- Kruskal-Wallis test
- post hoc Dunn’s test
- Two-way ANOVA
- (Chi-squared test)