00:01
We want to see if our sample is a good representation of what we expect to see.
00:09
So we are given the percentages.
00:11
What we did is multiply those by the total.
00:16
So we did 520 times 0 .48 and this is our expected count.
00:23
So we found all of these.
00:26
So the first thing we want to do is state our null and alternative hypothesis.
00:31
The null hypothesis is that the sample is representative of the population.
00:59
And our alternative is going to be that it's not.
01:03
The sample is not a good representation.
01:27
So now that we have our null and alternative, we need to check the conditions.
01:31
First, it does need to come from a random sample.
01:35
We are going to go ahead and assume that it was random.
01:40
Next, we need a large counts condition, which is all expected values are at least 5.
01:56
And they are.
01:57
So we can run a chi -squared.
01:59
Do this...