Mann-Whitney U Significance Calculator
What is Mann-Whitney U Significance Calculator and Why it Matters
The Mann-Whitney U test, also known as the Wilcoxon rank-sum test, is a non-parametric test used to compare two independent samples. It’s particularly useful when the data is not normally distributed. The Mann-Whitney U significance calculator helps you determine if there’s a significant difference between two samples.
How to Use This Calculator
- Enter the sample sizes for both groups.
- Choose the significance level (alpha).
- Click ‘Calculate’.
Formula & Methodology
The Mann-Whitney U test is based on the sum of ranks (U) of one sample. The formula for U is…
Real-World Examples
Let’s consider three scenarios…
Data & Statistics
| Sample | Size | Mean |
|---|---|---|
| 1 | 20 | 5.2 |
| 2 | 30 | 4.8 |
Expert Tips
- Always check the assumptions before using this test.
- Consider using the Wilcoxon signed-rank test for paired samples.
Interactive FAQ
What are the assumptions of the Mann-Whitney U test?
The test assumes that the two samples are independent and that the data is at least ordinal.
For more information, see the NIST guide and the Statistics How To guide.