A Kolmogorv-Smirnov test indicates whether the values of a numeric column tend to be distributed differently across two or more categories. Unlike an ANOVA test, it looks for differences in the entire distribution and not just the mean; however, the Kolmogorov-Smirnov test usually requires more observations than other tests in order to detect a difference.
To perform a Kolmogorov-Smirnov test:
See also: