What is the Mann-Whitney U Table used for?

The Mann-Whitney U Table is a statistical tool used to determine the significance of differences between two independent groups. It is based on the Mann-Whitney U test, which is a non-parametric test used to compare two groups when the data is not normally distributed. The table contains critical values for the U statistic, which is calculated from the ranks of the data. It is commonly used in research and data analysis to determine if there is a significant difference between two groups, and can be applied to a variety of data types and sample sizes. The Mann-Whitney U Table is a useful tool for researchers, as it allows for the comparison of non-parametric data without making assumptions about the underlying distribution.

Mann-Whitney U Table

The following tables provide critical values for two tailed Mann-Whitney U tests for various levels of alpha. 

For one-tailed tests, simply double the value of alpha and use the appropriate two-tailed table.

Read the Mann-Whitney U Test tutorial here.

Alpha = .01 (two-tailed)

Mann-Whitney U Critical Values for Alpha = .01


Alpha = .05 (two-tailed)

Mann-Whitney U Critical Values for Alpha = .05
Alpha = .10 (two-tailed)

Mann-Whitney U Critical Values for Alpha = .10

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