00:05
If you've looked at number nine, you're going to see that this problem is very similar.
00:09
A lot of the information is the same.
00:11
But now we're talking about a 68 -inch male versus a 62 -inch female.
00:17
In number nine, we had a person of each gender who is taller than average.
00:23
Now we have a person of each gender who is shorter than average.
00:26
But we're still being asked the same question of who is taller.
00:30
Because we are comparing different genders, we need to somehow put them on the same playing field.
00:35
So we standardize the data by calculating a z score.
00:42
The z score for the male, if i apply my formula up there, of taking the observed value, which is 68, and subtract the mean value for males, 69 .6, and divide that by the standard deviation of 2 .7, that will be negative 1 .6, divided by 2 .7, for negative 0 .5 .5.
01:09
It makes sense that the z score is negative since it is a height that is shorter than average, we're to the left of the mean on our normal curve...