00:01
So you're comparing the proportion of people who wear masks at a grocery store for new york city, and that was 180 out of 200, which that's going to be 0 .9 as a decimal, to that of houston, and that was 160 out of 200, and that would be 0 .8.
00:21
And you're using an alpha level of 0 .1.
00:26
You would be assuming that the two proportions are equal.
00:29
The proportion for new york is.
00:31
Equal to that of the proportion of houston and alternately you were just trying to find out if there was a difference i believe the way you worded it test the null hypothesis that the proportions are the same against the alternative that they are different and then it goes on and so we are doing a two -tail test now you had to find the critical values and i was a little unsure what they were saying about their two being two possibilities.
01:04
Well there are two possibilities because of it being two tailed, but since your alpha level is 0 .1, you would be splitting it between the two tails.
01:15
And this is where you would be rejecting the null, the critical value where you would, well, i can spell reject the null, and then you would be rejecting the null if you are up here for your test statistic.
01:28
And these are z values.
01:29
It's not based on the sample size.
01:32
So this z value, we will would correspond with positive 1 .645.
01:38
And so if your value is higher, your test statistic is higher than that, or if your test statistic is lower than this, that would cause you to reject the null.
01:49
Now, so these are the critical values.
01:54
And let's see...