DATA
Two independent groups
Separate values with commas, spaces, or new lines. Paste a column from Excel.
MANN-WHITNEY U TEST CALCULATOR
DATA
Separate values with commas, spaces, or new lines. Paste a column from Excel.
METHOD
It compares two independent groups by ranking all values together and checking whether one group tends to have higher ranks. It is the non-parametric alternative to the independent-samples t-test, also called the Wilcoxon rank-sum test.
U₁ = R₁ − n₁(n₁ + 1) ÷ 2, U₂ = n₁n₂ − U₁, U = min(U₁, U₂)R₁ is the sum of ranks in group 1. Tied values share the average rank. For larger samples, z = (U₁ − n₁n₂/2) ÷ σ_U, with a tie correction in σ_U.
Mann-Whitney is for two different groups of people. Wilcoxon signed-rank is for the same people measured twice, such as a pre-test and post-test.
“A Mann-Whitney U test indicated that satisfaction was significantly higher for in-person students (Mdn = 7.5) than for online students (Mdn = 3.5), U = 2, z = −2.58, p = .013, r = .74.” Report medians, U, z, p, and an effect size.
ABOUT THIS TOOL
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.
KEY FUNCTIONS
LEARN THE METHOD
The non-parametric alternative to the paired t-test for pre-test/post-test and repeated measurements, with exact p values for small samples.
The non-parametric alternative to one-way ANOVA, with Bonferroni-adjusted Dunn comparisons that show which groups differ.
Get the effect size for any common test in seconds, from raw summary statistics or from a reported t, F, or z value, with benchmarks and APA wording.