00:02
All righty, so we're estimating the percentage of all males to identify themselves in the primary grocery shopper.
00:09
And we're going to use a 90 % confidence interval.
00:12
So we're going to first check the conditions.
00:15
I want to check the 10 % condition.
00:22
So the total size of the sample needs to be less than 10 % of the population.
00:31
So there's that.
00:32
We also need the success and failure criteria such that the success, which is the number of people in the survey who said they were the primary grocery shopper and the number that said they weren't, they're both over 10.
00:50
And sure enough, they both are.
00:51
And you could look at it in two ways.
00:54
You could do 1127 are the successes.
00:58
So that's bigger than 10.
00:59
And what makes that, what do you have to add to that to make 2 ,300? well, it's 1173.
01:06
So that's the failures.
01:08
You could also do n times p, or the p hat, i guess.
01:13
It should be hats here.
01:17
And then n times 1 minus p hat.
01:18
You get the same thing.
01:21
In the confidence interval, it can be given as p hat plus minus z alpha over 2 times the square root.
01:32
Of p hat times one minus p hat all over n and p hat is just 1127 divided by 2300 so it's 0 .49 such p hat values the only thing we might need that we need is this z alpha value is the alpha 2 the well the alpha is the alpha is the alpha is the value that makes the confidence 100 so 90 % needs 2 so alpha is 0 .02.
02:03
And the corresponding z score is...
02:17
Oh, here we go.
02:19
2 .326.
02:20
This is for something else.
02:21
I'll talk about this in a second...