00:01
Once again, welcome to a new problem.
00:03
This time we're doing hypothesis testing.
00:06
So we're looking at hypothesis testing and the type of hypothesis testing we're looking for involves differences in scores and by differences in scores we mean the before and after the before and after scores.
00:33
So that's what we're looking at.
00:34
The test statistic for the differences in scores involves the sample, the sample mean difference and the hypothesized, so this is the hypothesized population mean difference.
00:54
This is also the sample standard deviation for the differences in means and small n stands for the sample size.
01:07
So small n stands for the sample size.
01:10
We're looking at a new problem involving 100 students enrolled in an act prep program.
01:21
D is the difference in the before and after test scores and s, d bar, is the mean difference.
01:33
So to find the mean difference we take the sum of the differences divided by n, assuming n is 100.
01:41
We also have the standard deviation of the differences in scores...
