Kruskal–Wallis test calculator
Enter at least two independent groups. Empty optional fields are ignored.
Group summary
| Group | n | Rank sum | Mean rank |
|---|---|---|---|
| Fill in the fields above — the result is computed on this page. | |||
How do I use this page?
- Paste two to four groups.
- Check mean ranks.
- Read H, df and the p-value.
What this page does not do: Groups must be independent. With small samples or many ties, the chi-square approximation can be inaccurate.
Further reading
Theory — what is the Kruskal–Wallis test?
The Kruskal–Wallis test extends rank-based comparison to more than two independent groups. The H statistic measures differences between the groups' rank sums and is compared against a chi-square distribution, with the p-value showing whether at least one group differs from the others. The result alone does not say which group differs — a post hoc test is needed for that. At least two groups must be entered, and empty optional fields are ignored.
Frequently asked questions
Does the result identify the differing group?
Must group sizes be equal?
See also
A/B test calculator
Compare two proportions in an A/B test. Calculate conversion rates, difference, uplift, z score, p value and c
A/B test planning — sample size, MDE and duration
Plan a two-proportion experiment, estimate detectable effect and traffic duration.
ACF and PACF autocorrelation calculator
Calculate ACF and PACF across time-series lags. Review the chart, reference bounds and coefficient table.