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Statistical power - Parametric vs Nonparametric test 

TileStats
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See all my videos at:
www.tilestats....
In this video we will discuss the differences in statistical power and type 1 errors between the t-test and the Mann-Whitney U test (Wilcoxon Mann-Whitney (WMW), Wilcoxon rank-sum test)
1. Type 1 error - t-test vs WMW
2. Type 2 error - t-test vs WMW - normal distribution (04:30)
3. Type 2 error - t-test vs WMW - log-normal distribution (10:56)
4. R code for the simulations (12:12)
You can find the R code here:
www.tilestats....

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11 сен 2024

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Комментарии : 4   
@Unaimend
@Unaimend 9 месяцев назад
Ok, now I actually watched the whole thing. This was by far the clearest explanation of all those concepts. I would love to take a whole stats course from you. As a computer scientist who got lost in the biology department I have to learn of this by myself and your videos are immensely helpful
@The111111555555
@The111111555555 8 месяцев назад
Wonderfully explained! For my project, I'm looking for tests that attempted to challenge the statistical power of the good (but ancient) WMW test, similarly when the assumptions are violated and parametric tests can't be used. Would love your guidance of where to look.
@tilestats
@tilestats 8 месяцев назад
Permutation tests might be an option: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-v7u8lHgoWig.html
@Unaimend
@Unaimend 9 месяцев назад
Thanks for this video
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