00:01
All right.
00:02
So assumptions of the one -way an nova.
00:06
First off, your dependent variable should be continuous, like iq, exam, scores, under 100, weight, nothing discrete.
00:17
Assumption two, your independent variable should consist of two or more categorical independent groups, like treatment groups, categorical activity level, profession, grade.
00:35
The grade is.
00:36
Student maybe or class and independent that's a very important thing so it's listed twice you should have independent observations and that is no relationship between the observations in each group or between groups and the participants have to be different in each group assumption of the four the the deep -pended variable should be normally approximately normal for each category.
01:13
And the fifth assumption is equal variances.
01:19
Moving on to f -distribution, skipping to the last one...