00:01
So we have a normal distribution for the amount of weight that is gained during the freshman year.
00:06
It's supposed to be normal with this as the mean and this as the standard deviation.
00:10
And we want to know what is the likelihood that one male has a weight gain from 0 to 3.
00:17
It says between, so technically it doesn't include endpoints, but most times people mean it to include.
00:24
So let's convert this to a z value.
00:26
So we have 0 minus the 1 .3 divided by the 4 .5.
00:31
And we'll do the same thing for the other, the 3 minus the 4 .5, excuse me, the 1 .3 divided by the 4 .5.
00:40
And so i'm going to put that in and give you a two -place decimal for this.
00:44
So we have negative, we know that first one is going to end up being a negative .13 and then divided by 4 .5.
00:54
And i'll give you again a two -place decimal for that value.
00:56
This comes out to be negative .29.
01:01
And then having the 3 minus that value comes out to be .38.
01:09
So we're going to find the area below .38 and that is a .6480.
01:19
And the area below negative .29 is .3859.
01:28
And so let's just do the arithmetic here...