00:01
We're looking to compare the heights of a man versus a woman to determine who is taller in relation to their gender.
00:11
We can't just go off of, numerically, yes, we can say that the male is taller if he's 75 inches tall versus a 70 inch female.
00:19
But in relation to their gender, kind of talking about who is more impressive in terms of, you know, extraordinary in terms of what their height is.
00:29
We're given the information that the average male for this age range, 20 to 29 years of age, was between, or excuse me, was 69 .6 inches with a standard deviation of 2 .7 inches.
00:41
And then the average woman for that same age group has a height of 64 .1 inches with a standard deviation of 2 .6 inches.
00:49
So we're looking at, again, a height of a male at 75 inches and a female at 70 inches.
00:56
And we want to know who is more extraordinarily tall for their gender.
01:02
We're going to be so that we can compare these two different genders, because they are different genders, it makes it a little bit difficult to compare.
01:09
We need to standardize the data by calculating the z score.
01:13
So we're going to use our z score formula that's shown there in the upper right corner, taking our observed value minus the mean divided by the standard deviation.
01:23
So for the male, we're going to have a z score.
01:29
That would be 75, that's the observed value, minus the mean for males is 69 .6, and the standard deviation for males is 2 .7.
01:44
So our numerator is going to be 5 .4, and we're dividing that by 2 .7, which is going to be a z score of exactly 2.
01:53
It's not common to get a nice exact z score like that, but it can certainly happen...