00:01
So we have blood glucose levels, which we'll call x, which have a mean value of 80 and a standard deviation of 10.
00:13
And then we're given the sample of 35 random patients in a very large hospital.
00:21
Then our x bar will be approximately normal with mean for x bar equal to the population mean and the standard deviation for x bar is going to be the population standard deviation divided by the square root of n.
00:40
So this is going to be 10 divided by the square root of 35.
00:44
And 10 divided by the square root of 35 is equal to 1 .69.
00:53
And then for port a, are the central limit theorem conditions met? yeah, we have a random sample.
01:02
So, we have a sample that is less than 0 .05 of the number of people in the hospital.
01:25
So those two are necessary for independence between our x's.
01:30
And our n is greater than or equal to 30, which means that the average approaches the normal distribution.
01:47
So we want independence or we want a random sample.
01:59
We want a sample that is smaller than 5 % of the population size and we want at least 30 in our sample.
02:09
So yes, conditions are met.
02:18
And then for part b, describe the sampling distribution.
02:22
Well, i already did that.
02:24
X will be approximately normal with mean for x bar equal to 80 and the standard deviation for x bar equal to 1 .69.
02:37
So it's bell shaped.
02:44
This is your center.
02:45
This is your spread...