00:01
All right, so we have an anova summary table with groups.
00:06
We're just told there are groups and that there are five values per group.
00:19
And we want to figure out how to interpret this.
00:25
So the first thing we're gonna do is state the hypotheses.
00:33
So the hypothesis is that, the null hypothesis is that the means are all the same.
00:41
Mu one equals mu two equals mu three equals mu four equals mu five equals mu six.
00:50
Now, how do i know it's six? because we're only told groups.
00:53
Well, looking at our degrees of freedom, degrees of freedom for the among groups is given as k minus one, where k is the number of groups.
01:01
And so how do we get five? six minus one, five.
01:06
So that means there are six groups.
01:08
The alternative hypothesis would be that the means are not all equal.
01:23
We can't just go the null and just go like that because this means they're all not equal to each other, but there could be some that are equal to each other.
01:34
So we have to say the means are not equal.
01:35
Some could be equal, but not all of them.
01:38
Okay, the test statistic is given to us.
01:41
It's right there.
01:43
So two, the test statistic is the f statistic, which is four...