Statistics 25: Kruskal-Wallis & Friedman Tests

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In our final class, we discuss non-parametric alternatives to one-way ANOVAS (both independent and repeated measures). In addition to demonstrating how we can calculate Kruskal-Wallis & Friedman tests in R, we discuss their relationship to previous concepts like sums of squares and percentages.
  1. William Knapp
  2. ANOVA
  3. Statistics
  4. Kruskal-Wallis
  5. Friedman
  6. Sums of Squares
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Комментарии
Автор

Wow, I like this video most. I'm new guy in statistics and this helps me a lot. Wish I had a lecture like you! Thank you.

zengguigao
Автор

Excellent video, presentation and explanaition. I'll be checking more of your videos out. Thankyou

georgegornall
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Thanks for the video, very useful indeed. But I have a more complex analysis to do, I have measurements both before and after an intervention ((repeated measures) on 4 independent groups, and I need to compare the measurements using non parametric tests as the data is skewed. I understand it will be a mix of kruskal wallis and Friedman but I don't know hoe to do it, can you please help ??)

hamidD
Автор

u knw wat sir, ,, I was with following the lesson till the the noise distracted me n i got lost ! :(
I didnt get t he question u asked the students just the part wen the noise started, its in the minute 20 in the video!

jailow