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.
- Enter, paste, upload, or choose the inputs shown in the tool above.
- Adjust the available options for the result you need.
- 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.