# Mann-Whitney U Test Calculator

Compare two independent samples with the nonparametric Mann-Whitney U rank-sum test

> Canonical page: https://elysiatools.com/en/tools/mann-whitney-u-test-calculator

- **Category:** Math & Numbers

- **Keywords:** mann whitney u test, rank sum test, nonparametric, independent samples, p value, calculator

## Overview

The Mann-Whitney U Test Calculator is a nonparametric statistical tool used to determine if there are significant differences between two independent groups. By comparing the ranks of data points rather than their raw values, this calculator provides a robust alternative to the independent t-test when data is not normally distributed or contains ordinal values.

## Inputs

- **Group 1 Values** (textarea): e.g. 12, 15, 14, 18, 16
- **Group 2 Values** (textarea): e.g. 9, 11, 10, 13, 12
- **Alternative Hypothesis** (select)
- **Alpha** (number)
- **Decimal Places** (number)

## When to use

- When comparing two independent groups where the data does not follow a normal distribution.
- When your dependent variable is measured on an ordinal scale or contains significant outliers.
- When sample sizes are small and the assumptions for a parametric t-test cannot be met.

## How it works

- Input the numerical values for two independent groups into the respective text areas using comma or space separation.
- Select your alternative hypothesis (two-sided, greater than, or less than) and set your significance level (alpha).
- The tool ranks all observations from both groups combined and calculates the U statistic based on the sum of these ranks.
- The calculator outputs the U and Z statistics, the p-value, and a clear indication of whether to reject the null hypothesis.

## Use cases

- Comparing the test scores of students from two different teaching methods when scores are skewed.
- Analyzing patient recovery times between a treatment group and a control group in a clinical study.
- Evaluating customer satisfaction ratings between two different product versions using ordinal survey data.

## Frequently asked questions

### What is the difference between this and a t-test?

The Mann-Whitney U test is nonparametric and compares ranks, while a t-test compares means and assumes a normal distribution.

### Can I use this for paired samples?

No, this test is specifically for independent samples; use the Wilcoxon Signed-Rank test for paired or related data.

### What does a significant p-value indicate?

A p-value less than your alpha suggests a statistically significant difference in the distribution of the two groups.

### How are ties handled in the ranking?

The calculator assigns the average rank to tied values to ensure accurate U statistic computation.

### Is there a limit to the sample size?

The test works for various sizes, but it is particularly useful for small samples where normality is hard to verify.

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