00:01
In this question we are looking at a normal distribution.
00:03
So i'm going to start by drawing it.
00:08
So the total area under this curve is one or 100 % of these people and it's symmetric.
00:15
So half will score below the mean, half above the mean.
00:19
We don't know the mean and we don't know the standard deviation.
00:24
Mu and sigma are a mystery to us but we do have some information to go off.
00:29
We know that if they score less than 50 they get a c and that 5 % of managers get a c grade.
00:35
So the area below 50 represents 5%, 0 .05.
00:44
We also know 5 % gets an a and those also have a score above 450.
00:53
So 450 and this area here represents the top 5 % and then the remaining 90 % are in the middle here.
01:03
From this i can work out the mean and the standard deviation.
01:07
So what we need to do is find the z scores corresponding to these two cut -off points and then we can work with that.
01:14
So to find the z score i'm going to use the inverse normal function.
01:19
You can find this on your graphical calculator, excel, r and i'm just using the standard function, the standard distribution rather.
01:27
So mean of zero, standard deviation of one and then we'll apply it to this particular distribution after.
01:35
So when i put in the area to the left because this is a cumulative function it will give me the corresponding z score.
01:44
So i could put in 0 .05 or i could put in 0 .95...