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Mann-Whitney U Test Calculator

Paste two independent samples to calculate U1, U2, the smaller U, tie-corrected z, approximate two-sided p-value, and effect-size context without assuming normality.

Smaller U statistic
Approx. p-value
Tie-corrected z
|r| effect
Total n
StatisticValueContext
This implementation uses average ranks for ties and a tie-corrected normal approximation. It does not claim an exact permutation p-value for small samples.

Connected statistics workflow

v10.85 connects descriptive statistics, probability models, distributions, confidence intervals, sample-size planning, hypothesis tests, correlation/regression, rank-based methods, and counting tools without replacing the established historical engines.

Interpret statistical results in context

Use plots and descriptive summaries before formal tests. Check the sampling/design assumptions that matter for the chosen method, report effect size and uncertainty where available, and avoid treating a threshold such as p < .05 as proof of importance, causation, or truth. Browser calculations are educational/planning utilities, not domain-specific professional advice.

How to use this Mann-Whitney U Test Calculator

Compare two independent groups with a tie-corrected Mann-Whitney U test, normal-approximation p-value, and rank-effect context.

  1. Enter, paste, upload, or choose the inputs shown in the tool above.
  2. Adjust the available options for the result you need.
  3. Review the output before copying, downloading, or using it elsewhere.

What this tool does

Paste two independent samples to calculate U1, U2, the smaller U, tie-corrected z, approximate two-sided p-value, and effect-size context without assuming normality.

Practical tips and limits

Review the inputs and result before using the output elsewhere. Keep the original data when the operation changes or replaces content.

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