If you're interested in any difference among the groups that would make the mean ranks be different, then the Kruskal-Wallis test doesn't make any assumptions. Heteroscedasticity is one way in which different groups can have different shaped distributions. If the distributions are heteroscedastic, the Kruskal-Wallis test won't help you; instead, you should use Welch's t-test for two groups, or Welch's anova for more than two groups.
@callforlove23614 жыл бұрын
@@GeorgeMgendi are you here?
@nimashahidinia45033 жыл бұрын
Can someone please post a link to the dataset referenced in the video?