00:01
Suppose that we have the following z scores.
00:04
We want to note first which corresponds to the highest raw score.
00:08
So the z score is the number of standard deviations above the mean.
00:12
So the higher and more positive the z score, the higher the raw score is going to be relative to the mean.
00:19
So this plus three is going to be our greatest positive value, and therefore that's the highest raw score.
00:29
The most negative, on the other hand, is going to be the one that's most standard deviations below the mean, and therefore corresponds to the lowest raw score.
00:37
In our case, that's going to be the negative one.
00:39
That's our lowest raw score.
00:48
Now, if we want to rank them in order of frequency, from high to low frequency, the closer that you are to zero, right, because if you have a distribution, this is zero standard deviations from the mean right in the center.
01:15
The closer that you are, the higher the frequency is going to be because you're going to have a higher y value on this graph.
01:22
So the negative 0 .15 has an absolute value closest to 0 and will be the highest frequency...