00:01
So in this question here, in item a, we want to know what is the fraction, or in this case we can measure this as the probability, of the students who possess a gpa in excess of 3.
00:13
Okay? so basically, in excess means greater than this, right? so we want to know the probability that the gpa, let's say that the gpa is x, will be greater or exceeds 3, right? so the distribution of the gpa scores is normal, with mean 2 .7, and the standard deviation 0 .7.
00:34
So because we have a normality for the z -scores, we can apply the z -score method here, which changes the distribution now to be the standard normal distribution.
00:43
But to do that, we should compute the z -score for this value.
00:46
So the z -score is equal to the value minus the mean of the distribution, divided by the standard deviation.
00:52
So this is the same as finding the probability in the z -table, or finding a value greater than 0 .43, which is 0 .3336.
01:03
Now, in b, we want to find here what is the percentage of students that will have a gpa less than 1 .9, because in that way, we know that they will be dropped from college.
01:17
So first, we find the proportion, or the probability, a value between 0 and 1, and then we multiply the result by 100 to get the percentage...