Research Tools

Kruskal-Wallis Test Calculator

Kruskal-Wallis Test Calculator

Independent groups

Enter numeric observations for each independent group. Separate values with commas, spaces, semicolons, tabs, or new lines.

Significance level (α)0.050
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Results update automatically.
H statistic
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Tie-corrected
df
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k − 1
p-value
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χ² approximation
η²H
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Rank effect size
Enter at least two groups of numeric data.
Mean rank by group
Observations by group
Group summary
Dunn pairwise post-hoc comparisons
Two-sided Dunn tests with Holm adjustment. Pairwise results are most useful after a significant overall Kruskal-Wallis test.
How this is calculated

About the author

Muhammad Hassan

Muhammad Hassan writes about research design, academic methods and data-analysis concepts for ResearchMethod.net. His work focuses on presenting methodological topics in clear language for students and early-career researchers. Articles are developed from recognized methodological literature and official software documentation.