00:01
So for this problem, we are considering the idea of the sampling distribution of sample means.
00:20
The idea here being that we take many samples and find the sample mean for each.
00:43
So sort of visualizing it, typically we can actually represent a sampling distribution of sample means as a continuous distribution.
00:51
But one way to think about it is, you know, let's say that we have, let's, okay, actually here we know that the population mean is 59 .1.
00:59
So what would happen is that we have one sample where we get 59 .1, and another sample where we get a mean a little bit less, and another sample where we get a mean a little bit more, and we have some kind of distribution of values.
01:15
But what would happen is that for the individual sample means that we calculate, as we calculate more and more mean values out, we'll start getting this distribution of results.
01:28
And as the number of samples increases, what happens is that the distribution of sample means becomes closer and closer to a normal distribution...