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# Hypothesis tests

Statistical hypothesis tests are used to decide whether data sufficiently support a particular hypothesis. SciPy defines a number of hypothesis tests, listed in Hypothesis Tests and related functions.

You can find simple examples to each test in the corresponding docstring. For more detailed examples, see the following sections.

- Bartlett’s test for equal variances
- Chi-square test
- Chi-square test of independence of variables in a contingency table
- Dunnett’s test
- Fisher’s exact test
- Fligner-Killeen test for equality of variance
- Friedman test for repeated samples
- Jarque-Bera goodness of fit test
- Kendall’s tau test
- Kurtosis test
- Levene test for equal variances
- Normal test
- Odds ratio for a contingency table
- Pearson’s Correlation
- Shapiro-Wilk test for normality
- Skewness test
- Spearman correlation coefficient