00:01
Okay, so we're doing a hypothesis test of the mean equaling 5000 versus the mean versus the authentic hypothesis that the mean is less than 5000.
00:11
And it says provide the statistical model stating all the assumptions.
00:16
So the statistical model is that under the null hypothesis, our variable x, which is, sorry, x bar 50, which is the sample mean of the sample size of 50, follows a normal distribution with mean 5000 and standard deviation 120 over the square root of 50.
00:43
And so the variance is just the square of that.
00:47
And the assumptions are that we're taking a simple random sample, that each subject in the sample is independent, that the population is normally distributed, and that we know the population standard deviation, which we do, which is 120.
01:12
Part b then says, what is the probability of committing a type one error? so the probability of type one error is the probability that we reject h naught when h naught is true.
01:30
And that is the probability of finding x bar 50 being less than 4970 under h naught, which is just the probability of z being less than 4970 minus 5000 divided by 120 over the square root of 50.
01:59
This is just equal to minus 1 .77 to two useful places, and the probability that z is less than that is just 0 .03836...