00:01
So in the first question here, we want to check if the standard deviation of the sampling distribution of the sample mean, which basically means that the sample mean usually has a normal distribution when we have a sample size large for our sample with a mean.
00:22
And the standard deviation is the sigma square divided by, in this case, since the state deviation is just sigma, divided by the square root of n.
00:34
So this is the, in this case, the deviation of the x bar, the sample mean here.
00:41
So in this question, they are saying, what is going to happen with this number here? if the sample size now, instead of being 50, will increase to 100.
00:53
So as you can see, the n here is in the denominator of this ratio.
00:57
So if you increase the sample size, this ratio here will decrease.
01:03
So this means that the sample standard deviation would decrease.
01:08
So the right answer will be letter b.
01:10
Now for the second question, we need to say what is going to happen with the mean.
01:16
Now we are interested in this part here of the distribution of the x bar, this mu.
01:21
As you can see, mu does not depend on n.
01:27
So it doesn't matter if you change.
01:30
N to be 50 to be 100, the value of mules since there's not dependent on n will stay the same.
01:40
So this means that the right answer here will be item c...