Perform a Kruskal-Wallis test comparing three or more independent groups.
Kruskal-Wallis extends the Mann-Whitney test to more than two groups and follows a chi-square distribution under the null. A significant result identifies that some group differs but not which. A significant H requires post-hoc pairwise tests with multiplicity correction to locate the difference, exactly as ANOVA does.
Kruskal Wallis
H is compared against a chi-square distribution with k − 1 degrees of freedom
H is compared against a chi-square distribution with k − 1 degrees of freedom Kruskal-Wallis extends the Mann-Whitney test to more than two groups and follows a chi-square distribution under the null. A significant result identifies that some group differs but not which.
A significant H requires post-hoc pairwise tests with multiplicity correction to locate the difference, exactly as ANOVA does.
This calculator takes 4 inputs: H statistic, Number of groups, Total sample size, Significance level. The pre-filled defaults are a realistic starting point — replace them with figures from your own environment for a result you can act on.