00:01
So here we have to select which assumptions must be true for anova to be a valid model.
00:12
And the most important assumptions that we need to use the anova model is that each group sample must be drawn from a normal or approximately normal distribution, population i should say.
00:53
So a population with a normal or approximately normal distribution.
00:57
We also need that the populations should have a common variance or equal variance among the samples.
01:31
And then the third one is that all samples must be drawn independently from each other.
01:45
So all samples must be independent of each other.
01:52
And also within each sample, all observations must be random and independent of each other.
02:22
So these are the four most important assumptions to use anova.
02:30
So if we look at our options here that we can choose from, i see, let's see here, the populations from which the samples are obtained must be normal or approximately normal.
02:49
So that one is true.
02:50
So answer one is true.
02:59
And then the samples must be independent of each other.
03:02
Well, that's true...