Test a null hypothesis involving the difference between randomly selected values from two samples by performing a two-sample Wilcoxon or Mann-Whitney U test.
The Mann-Whitney U test is used to compare whether there is a difference in the dependent variable for two independent groups. Select a numerical test variable (test_var) and a categorical grouping variable (group_var).
The first section of the output is the printed output of a
wilcox.test run in R. There are more details on this printed output in the R documentation for wilcox.test. The output also includes a boxplot comparing the distributions of the selected groups.
|test_var||Yes||Column Input. Integer, Decimal||Numerical variable upon which the test will be computed.|
|group_var||Yes||Column Input. Text, Integer, Boolean, Date, DateTime||Categorical variable which provides the two independent samples.|
The null hypothesis is that the distributions of the samples differ by a location shift of
|alternative||Yes||Text, three options.||Select between a two sided and one-sided test by choosing either two.sided, greater or less.|
|confidence_level||Yes||Decimal between 0.5 and 0.99||Set your confidence interval, default to 0.95.|