00:01
All right, so according to the hershey study, the mean amount of chocolate consumed is 11 .4 pounds with a standard deviation of 3 .6.
00:10
So we want the probability of less than 7 pounds of chocolate.
00:16
So we can find the z score associated with it.
00:25
So it's 7 minus 11 .4 over 3 .6, which is negative 4 .4 over 3 .6, which we can then do on a our calculator.
00:43
So negative 1 .222.
00:47
So the area under the curve right here for z equals negative 1 .22 and so on is going to be the same thing as the area above z equals positive 1 .22 by symmetry of the normal curve.
01:04
So if we can find this area, because we only have positive z squared, so i'm doing this, we can find this area.
01:10
We'll take one minus it and that'll give us our answer.
01:12
So for z equals 1 .22, it's 0 .8888.
01:18
So 1 minus 0 .88888 is 0 .112.
01:22
So that's our answer.
01:27
All right.
01:28
Now we have more than 9 pounds of chocolate.
01:36
So again, we can find our z score.
01:40
9 minus 11 .4 over 3 .6 is going to be negative 2 .4 divided by 3 .6.
01:48
So negative 0 .67 .67.
01:52
This time, we want the area above it.
01:57
So if this is z equals negative 0 .67, and this is z equals positive 0 .67, this shaded area is the same thing as the area under the curve for the positive z score.
02:11
So all we have to do is find the area under the curve.
02:13
Look up 0 .67, get the associated percentile.
02:17
So 0 .7486.
02:26
Let me box the answer for part a as well.
02:28
All right, between 8 and 12 pounds of chocolate.
02:43
So for 8, the z score is negative 3 .4 over 3 .6.
02:53
It's going to be negative 0 .94.
02:59
And we know that the area is going to be 1 minus, as we saw from the illustrations, 1 minus the area for the positive z score...