The Mann Whitney U test, sometimes called the Mann Whitney Wilcoxon Test or the Wilcoxon Rank Sum Test, is used to test whether two samples are likely to derive from the same population (i.e., that the two populations have the same shape).

What is the difference between Mann Whitney and Wilcoxon?

The main difference is that the Mann-Whitney U-test tests two independent samples, whereas the Wilcox sign test tests two dependent samples. The Wilcoxon Sign test is a test of dependency. All dependence tests assume that the variables in the analysis can be split into independent and dependent variables.

Why would you use a Wilcoxon test?

The Wilcoxon test compares two paired groups and comes in two versions, the rank sum test and the signed rank test. The goal of the test is to determine if two or more sets of pairs are different from one another in a statistically significant manner.