00:01
Okay, so we want to see whether there's a dependence between alcohol and 9 -11 participation.
00:05
So we're testing for dependencies.
00:07
We're going to do a chi -square test for independence because we have two categorical.
00:17
So this is because we have two categorical variables, each with at least two levels in them.
00:28
Them.
00:29
So for example, participating is did participate and did not participate.
00:34
That's two levels.
00:36
And we're testing whether they're independent.
00:40
So we use a chi -square test for independence.
00:42
We're asked to calculate the expected values and they turn out to be.
00:46
So the expected values, which i've given over here, are collected from the observed values, which i've copied out here.
00:57
As this expected value, for example, is the row total of the corresponding observed value times the column total divided by the overall total.
01:07
So this would be 1090 times 1160 divided by 1655.
01:15
And that's what you do for all of them.
01:16
And that's how you get this table of expected values.
01:19
It's worth just saying that because the way the question is transcribed, it's not super clear whether it's transcribed as rows or columns.
01:25
So just make sure that this is the correct observed data...