GROUPS
One group per line
Write each group as "Name: value, value, …". The name is optional.
KRUSKAL-WALLIS TEST CALCULATOR
GROUPS
Write each group as "Name: value, value, …". The name is optional.
METHOD
H = [12 ÷ (N(N+1))] × Σ (Rᵢ² ÷ nᵢ) − 3(N+1), df = k − 1Rᵢ is the rank sum of group i after ranking all values together. With ties, H is divided by 1 − Σ(t³ − t) ÷ (N³ − N). H is compared with a chi-square distribution.
A significant H says at least one group differs, not which. Dunn's test compares every pair of mean ranks; with three groups there are three comparisons, so Bonferroni multiplies each p by 3.
“A Kruskal-Wallis H test showed a statistically significant difference in engagement between teaching methods, H(2) = 14.58, p < .001, ε² = .73. Dunn's post hoc tests with Bonferroni correction showed that the flipped group scored higher than the lecture group (p < .001).” Report medians for each group.
ABOUT THIS TOOL
The non-parametric alternative to one-way ANOVA, with Bonferroni-adjusted Dunn comparisons that show which groups differ.
KEY FUNCTIONS
LEARN THE METHOD
Run the non-parametric alternative to the independent t-test for Likert items or skewed data, with exact p values for small samples and a ready-to-use write-up.
Pick the right statistical test for your thesis in four questions, then see the assumptions to check and a ready-to-edit APA-style sentence for your results chapter.
Use an inference-focused statistics workspace for t-tests, correlation, simple regression, and one-way ANOVA with visible assumptions.