00:05
All right, in this question, we are looking at three different test scores with the mean and standard deviation of the datasets that those test scores were taken from.
00:17
And the overall question is, which of the test scores is better relative to the rest of the tests in that data set? so all of these test scores are on different scales.
00:30
So using a z score to compare them gives us a way to make them on the same.
00:35
Same scale.
00:37
So let's recall that our formula for the z score is x minus x bar over s.
00:44
And we're going to use this formula three times to calculate the z score for each of these tests.
00:52
So the z score for part a then would be 3 .2 minus 4 .6 over 1 .5.
01:02
Subtracting and then dividing by 1 .5, gives us a z score of negative 0 .93.
01:12
That makes sense because this is below the average and not quite one standard deviation below.
01:21
If we look at test b, the z score then would be 630 minus 800 over 200.
01:31
And again, we have a score that is below average...