0:00
All right.
00:01
So for doing the calculations here, we know that we have our sample size, n, is 1 ,324.
00:08
We have that the sample mean, x bar, is 2 .98.
00:15
The sample standard deviation, s, equal to 2 .66.
00:21
What we'll have to do here, though, is make a slight modification.
00:25
We want the standard deviation of the sample means, which is going to be.
00:30
Going to be given by our sample standard deviation, 2 .66, divided by the square root of our sample size.
00:45
So that's going to be 0 .0731, roughly.
00:50
Then for finding the p value, noting that this is a two -tailed test, we'd want to do second distributions.
01:01
This is going to be a normal q -value.
01:04
Cumulative distribution function, normal cdf.
01:09
Actually, let me just check here.
01:12
So we do have that the sample size is sufficiently large that the t distribution is going to start getting very, very close to the z distribution.
01:22
But i'm going to go with the t distribution anyways, just to be essentially over careful...