Mann-Whitney U Test Calculator
Perform a non-parametric test to determine if two independent groups are statistically different.
Enter Your Data
Input your sample datasets and significance level to perform the Mann-Whitney U Test.
Data for the first group.
Data for the second group.
Typically 0.05. Choose a value between 0 and 1.
Results
Test Statistic (U):
P-value:
Interpretation: If the P-value is less than the significance level (α), we reject the null hypothesis. This suggests that there is a statistically significant difference between the two groups.
Distribution Visualization
Visual representation of the distribution of both samples. This chart helps to compare the frequency distribution of the two datasets.
About the Mann-Whitney U Test
The Mann-Whitney U test is a non-parametric test used to compare two independent samples. It is used to determine whether there is a statistically significant difference between the medians of two groups. Unlike the t-test, it does not assume that the data are normally distributed, making it suitable for non-normal data or ordinal data.
When to Use: Use this test when you want to compare two independent groups and your data is not normally distributed, or you are working with ordinal data. It's commonly used in fields like psychology, healthcare, and social sciences to compare outcomes between two different groups or treatments.
How to Interpret Results: The calculator provides a U statistic and a p-value. The p-value helps you decide whether to reject the null hypothesis (which states there is no difference between the groups). If the p-value is less than your chosen significance level (e.g., 0.05), you reject the null hypothesis, concluding there is a significant difference between the two groups.
Learn more about the Mann-Whitney U test on resources like Wikipedia and statistics textbooks.