This video is about analysis of variance, or ANOVA for short. We discuss what an ANOVA is and why you need it. We look at the hypotheses and the prerequisites for an analysis of variance, and I show you how to calculate an ANOVA and what the equations behind an ANOVA are. Finally, we discuss how to interpret the results and take a look at the post-hoc test. First of all, there are different types of analysis of variance. The simplest and most common form is the one-way analysis of variance. And this video is all about the one-way analysis of variance.
► EBOOK
https://datatab.net/statistics-book
► ANOVA statistics calculator
https://datatab.net/statistics-calculator/hypothesis-test/anova
► Tutorial
https://datatab.net/tutorial/one-factorial-anova
► F-distribution table
https://datatab.net/tutorial/f-distribution
► Video Test for Normality
https://youtu.be/AVketBmpUTE
► Video Levene's test
https://youtu.be/x51GDTiPIfI
► Video Kruskal-Wallis-Test
https://youtu.be/l86wEhUzkY4
► Video Two Way ANOVA
https://youtu.be/7OY0DdFyJBg
00:00 What is an analysis of variance?
01:53 What are the hypotheses in an analysis of variance?
02:29 What are the assumptions of an analysis of variance?
05:55 How is an ANOVA calculated?
12:16 How is an analysis of variance calculated with DATAtab?
13:00 What is a post-hoc test?