Work out kruskal wallis test instantly with clear inputs, formula shown and shareable results.
Kruskal-Wallis extends Mann-Whitney to three or more groups. It ranks all observations together and asks whether the rank sums differ more than chance allows, comparing H against chi-square on k − 1 degrees of freedom.
Kruskal-Wallis H
H = [12/(N(N+1))]·Σ(Rᵏ²/nᵏ) − 3(N + 1)
H ≈ 5.6538 on 2 df, giving p ≈ 0.0592 — borderline evidence of a difference.
Post-hoc pairwise comparisons such as Dunn's test, with a correction for multiple testing.