Timeline for Mann-Whitney-U test or unpaired-T test if only one group non-normal
Current License: CC BY-SA 4.0
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| Aug 31, 2022 at 19:43 | history | edited | gung - Reinstate Monica | CC BY-SA 4.0 |
clarified question in title; added tag; formatted; removed thanks
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| Aug 31, 2022 at 18:04 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Apr 4, 2022 at 6:04 | comment | added | Glen_b | Indeed we've had several very confused people posting to ask why their Mann-Whitney rejects when the sample medians are identical; this is a confusion caused by this mistaken notion that it tests medians. On occasion you can even see it pick up an effect running in the opposite direction to the direction of difference in medians. | |
| Apr 4, 2022 at 2:38 | comment | added | Glen_b | The Wilcoxon-Mann-Whitnney isn't a test of difference in medians either. | |
| Apr 3, 2022 at 19:47 | answer | added | BruceET | timeline score: 2 | |
| Apr 3, 2022 at 19:30 | comment | added | BruceET | If the goal is to know whether BMI means differ between the two groups ('disease' and not), then use 2-sample t for nearly-normal data. If samples are not from normal population but of similar shapes, use 2-sample Mann-Whitney-Wilcoxon rank sum test to see if medians differ. (M-W and Wilcoxon RS are equivalent but use different test statistics. Some stat software uses M-W, some Wilcoxon SR.) | |
| Apr 3, 2022 at 17:47 | history | asked | R Beginner | CC BY-SA 4.0 |