00:01
So they give us the average salary for men and women.
00:03
They both have the same standard deviation.
00:05
So they want to know how much women would have to make to have a higher salary than 99 % of her male counterparts.
00:13
So let's see what the salary would be for 99 % of the male counterparts.
00:19
So we're going to look at our z table and we're going to look at more than 99%.
00:24
So we're going to find in our z table in the body what's closest to 0 .01.
00:30
Now we're not looking at the z score.
00:31
We're looking at that probability.
00:33
What's closest to 0 .01.
00:36
So when i'm looking at here, i see 0 .01, 0 .01, 0 .04, 17.
00:46
Okay, i see a z score of negative 2 .33...