00:01
For this problem, the average base salary for women is 67 ,000.
00:06
The average base salary for men is 65 ,500.
00:10
Standard deviation is 7 ,000.
00:13
To assume a normal distribution.
00:20
Now let's identify our random variables.
00:24
We're going to assume w to be the random variable representing the base salary for women.
00:34
And then m as a variable to represent the base salary for men.
00:45
For the first question, we are to find the probability that a woman receives salary in excess of $75 ,000.
00:53
So that is the probability that w is greater than $75 ,000.
01:02
And we need to compute the z score for this value, and the formula is right here.
01:08
You have z is equal to x or the random variable, minus the mean value divided by standard deviation.
01:17
Therefore, we have the probability that z is greater than our x value, in this case, 75 ,000, minus the mean, that is a mean for women, 67 ,000, and then standard deviation, that is 7 ,000.
01:47
We'll simplify this and we have the probability that z is greater than 1 .14.
02:04
So to compute this probability, on the normal distribution curve with zero at the center, say this is 1 .14, you're interested in the region to the right of it...