00:01
We are told the proportion of us adults with high blood pressure is 0 .35.
00:05
So it would be p, the population proportion.
00:09
We pick 44 us adults.
00:12
We want the probability more than 55 % of them have high blood pressure.
00:16
Can we use a normal approximation here? so currently this is binomial.
00:21
44 independent trials, two outcomes, high blood pressure or not, same probability for each.
00:29
Can we take a normal approximation? well the requirements to take a normal approximation to the binomial is you need np to be greater than 5.
00:40
You need nq which is 1 minus p to be greater than 5.
00:44
Are those met here? well 0 .35 times 44 is 15 point something.
00:49
So yes we can use a normal approximation.
00:54
Let's do that.
00:56
So a normal distribution has a mean and a standard deviation.
00:59
The mean of a binomial is np, the standard deviation root npq.
01:07
But what i'm actually going to do here is look at proportions since we are looking at 55 % rather than a strict number of people.
01:17
So to turn this from number with high blood pressure to proportion with high blood pressure i'm just going to divide both of these by n.
01:24
That will take me from x, the number with high blood pressure, to x over n, the proportion with high blood pressure.
01:32
So this turns this into a sampling distribution.
01:36
The sampling distribution of p hat, the sample proportion...