Mann Whitney U Test Interpretation. The u test is a member of the bigger group of dependence tests. If you have been following this guide from page one you will know that the following output and interpretation relates to the mann whitney u test results when your two distributions have a different shape such that you are comparing mean ranks rather than medians.
Complete the following steps to interpret a mann whitney test. In this tutorial we ll look at how to conduct the mann whitney u test in spss and also at how to interpret the result of the test. The mann whitney u test evaluates whether two samples are likely to originate from the same underlying population and it tends to be used in situations where an independent samples t test is not appropriate for example if either of the sample distributions are non normal.
The mann whitney test also called the wilcoxon rank sum test is a nonparametric test that compares two unpaired groups.
In statistics the mann whitney u test is a nonparametric test of the null hypothesis that for randomly selected values x and y from two populations the probability of x being greater than y is equal to the probability of y being greater than x. The u test is a member of the bigger group of dependence tests. Complete the following steps to interpret a mann whitney test. The mann whitney u test evaluates whether two samples are likely to originate from the same underlying population and it tends to be used in situations where an independent samples t test is not appropriate for example if either of the sample distributions are non normal.
