00:01
We are looking at a population and the sampling distribution.
00:04
We want to describe what these are.
00:07
So first, what is a population? so a population is the entire group of interest.
00:17
So here, everybody that contributes to the data set.
00:24
That would be all 12 ,000 able -bodied male undergraduates of the university of illinois.
00:31
So all 12 ,000 who participated.
00:38
What is the population distribution? so the population distribution here is a normal distribution representing the timed miles for each student.
00:51
So it's the distribution of times for individual students.
01:04
And we're told it is normal.
01:06
So if you took all 12 ,000, timed all of them, took all of those times and plotted them out, you get this normal curve with mean 7 .11, standard deviation 0 .74.
01:19
Now for part b, we take samples of them.
01:24
Now how is the sampling distribution different from the population distribution? so in part a, we took all the individual times and plotted them out.
01:34
What we're doing with a sampling distribution is we're taking all of the possible samples of 100...