Mann-Whitney U Test Calculator
Calculate the Mann-Whitney U Test with ease using our interactive online calculator. Ideal for statisticians and researchers seeking accurate non-parametric test results.
Full original guide (expanded)
Mann-Whitney U Test Calculator
This calculator provides an easy way to perform the Mann-Whitney U Test, a non-parametric test for assessing whether two independent samples come from the same distribution. Ideal for statisticians and researchers dealing with ordinal data or non-normally distributed interval data.
Input Data
Results
Data Source and Methodology
Calculations are based on the methods outlined in the scientific article from the Journal of Statistical Software. View Source.
The Formula Explained
The Mann-Whitney U test is calculated using the formula:
$$ U = n_1 \cdot n_2 + \frac{n_1(n_1+1)}{2} - R_1 $$
Glossary of Terms
- U Value: The test statistic for the Mann-Whitney U Test.
- P Value: The probability of observing the test results under the null hypothesis.
FAQ
What is the Mann-Whitney U Test?
A non-parametric test for comparing two independent samples.
When should I use it?
When your data does not meet the assumptions of a t-test.
Formula (LaTeX) + variables + units
','
U = n_1 \cdot n_2 + \frac{n_1(n_1+1)}{2} - R_1
$ U = n_1 \cdot n_2 + \frac{n_1(n_1+1)}{2} - R_1 $
- No variables provided in audit spec.
- NIST — Weights and measures — nist.gov · Accessed 2026-01-19
https://www.nist.gov/pml/weights-and-measures - FTC — Consumer advice — consumer.ftc.gov · Accessed 2026-01-19
https://consumer.ftc.gov/
Last code update: 2026-01-19
- Initial audit spec draft generated from HTML extraction (review required).
- Verify formulas match the calculator engine and convert any text-only formulas to LaTeX.
- Confirm sources are authoritative and relevant to the calculator methodology.
Mann-Whitney U Test Calculator
This calculator provides an easy way to perform the Mann-Whitney U Test, a non-parametric test for assessing whether two independent samples come from the same distribution. Ideal for statisticians and researchers dealing with ordinal data or non-normally distributed interval data.
Input Data
Results
Data Source and Methodology
Calculations are based on the methods outlined in the scientific article from the Journal of Statistical Software. View Source.
The Formula Explained
The Mann-Whitney U test is calculated using the formula:
$$ U = n_1 \cdot n_2 + \frac{n_1(n_1+1)}{2} - R_1 $$
Glossary of Terms
- U Value: The test statistic for the Mann-Whitney U Test.
- P Value: The probability of observing the test results under the null hypothesis.
FAQ
What is the Mann-Whitney U Test?
A non-parametric test for comparing two independent samples.
When should I use it?
When your data does not meet the assumptions of a t-test.
Formula (LaTeX) + variables + units
','
U = n_1 \cdot n_2 + \frac{n_1(n_1+1)}{2} - R_1
$ U = n_1 \cdot n_2 + \frac{n_1(n_1+1)}{2} - R_1 $
- No variables provided in audit spec.
- NIST — Weights and measures — nist.gov · Accessed 2026-01-19
https://www.nist.gov/pml/weights-and-measures - FTC — Consumer advice — consumer.ftc.gov · Accessed 2026-01-19
https://consumer.ftc.gov/
Last code update: 2026-01-19
- Initial audit spec draft generated from HTML extraction (review required).
- Verify formulas match the calculator engine and convert any text-only formulas to LaTeX.
- Confirm sources are authoritative and relevant to the calculator methodology.
Mann-Whitney U Test Calculator
This calculator provides an easy way to perform the Mann-Whitney U Test, a non-parametric test for assessing whether two independent samples come from the same distribution. Ideal for statisticians and researchers dealing with ordinal data or non-normally distributed interval data.
Input Data
Results
Data Source and Methodology
Calculations are based on the methods outlined in the scientific article from the Journal of Statistical Software. View Source.
The Formula Explained
The Mann-Whitney U test is calculated using the formula:
$$ U = n_1 \cdot n_2 + \frac{n_1(n_1+1)}{2} - R_1 $$
Glossary of Terms
- U Value: The test statistic for the Mann-Whitney U Test.
- P Value: The probability of observing the test results under the null hypothesis.
FAQ
What is the Mann-Whitney U Test?
A non-parametric test for comparing two independent samples.
When should I use it?
When your data does not meet the assumptions of a t-test.
Formula (LaTeX) + variables + units
','
U = n_1 \cdot n_2 + \frac{n_1(n_1+1)}{2} - R_1
$ U = n_1 \cdot n_2 + \frac{n_1(n_1+1)}{2} - R_1 $
- No variables provided in audit spec.
- NIST — Weights and measures — nist.gov · Accessed 2026-01-19
https://www.nist.gov/pml/weights-and-measures - FTC — Consumer advice — consumer.ftc.gov · Accessed 2026-01-19
https://consumer.ftc.gov/
Last code update: 2026-01-19
- Initial audit spec draft generated from HTML extraction (review required).
- Verify formulas match the calculator engine and convert any text-only formulas to LaTeX.
- Confirm sources are authoritative and relevant to the calculator methodology.