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.
thank you
In your example, the Barlett's test is
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.
@@GeorgeMgendi are you here?
Can someone please post a link to the dataset referenced in the video?
where can I found the data set to load in stata?
mega.nz/#F!ZUM0xKaS!QTWgmmnm1t7w7h5cfqOWkQ
Is the narrator Ben Carlson?
are you here ?
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