Power Calculation Mann Whitney U Test

Introduction & Importance

The Mann-Whitney U test is a non-parametric test used to compare two independent samples. The power calculation for this test is crucial to determine the sample size required to detect an effect of a certain size with a given level of confidence.

How to Use This Calculator

1. Enter the sample sizes (n1 and n2) for the two groups.
2. Select the significance level (α).
3. Enter the desired power (1 – β).
4. Click ‘Calculate’.

Formula & Methodology

The power calculation for the Mann-Whitney U test uses the following formula…

Real-World Examples

Data & Statistics

Comparison of Sample Sizes for Different Power Levels

Comparison of Power Levels for Different Sample Sizes

Expert Tips

• Always ensure your sample sizes are large enough to detect a meaningful effect.
• Consider using a power analysis to inform your study design.

Interactive FAQ

What is the Mann-Whitney U test?

The Mann-Whitney U test is a non-parametric test used to compare two independent samples.

How do I interpret the results?

If the p-value is less than the significance level (α), then we reject the null hypothesis and conclude that there is a significant difference between the two groups.

Learn more about the Mann-Whitney U test

Understand the Mann-Whitney U test with examples