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About

When your data does not meet the strict assumptions of the Student's t-test—specifically, when it is not normally distributed or consists of ordinal variables (like survey rankings)—the Mann-Whitney U test is the gold standard alternative. It compares the distribution of two independent samples to determine if one is stochastically greater than the other.

This calculator handles the tedious work of Ranking. Normally, you would have to combine all data points, sort them, assign ranks (handling ties by averaging), and then sum them back up. This tool does it instantly, even for large datasets. It outputs the U statistic and the Z-score (using the normal approximation for samples n > 20), making it suitable for professional research.

mann-whitney non-parametric data analysis

Formulas

The U statistic is calculated for both groups:

U1 = n1n2 + n1(n1+1)2 R1

For large samples, we use the Z-approximation:

Z = U mUsU

Reference Data

n1n2Critical U (α=0.05)Critical U (α=0.01)
5520
51084
10102316
10153929
15156451
2020127105
>20>20Use Z-ApproxUse Z-Approx

Frequently Asked Questions

If multiple data points have the same value, they are assigned the average of the ranks they would have occupied. This 'tied rank' method is standard for the Mann-Whitney test.
Yes, the Mann-Whitney U test and the Wilcoxon Rank-Sum test are mathematically equivalent and produce the same p-values.