00:01
Okay, so because we're dealing with before and after data here, we need to make sure that these values stay paired together.
00:07
So the type of tests we want to run here is the paired t test or matched paired t test.
00:22
And the way we run this is first we have to find the differences between the values, and then we find the mean difference.
00:31
And then what we'll do is we'll run a t test after that.
00:35
So to find the differences, we're really just subtracting the before minus the after, and then we'll fill out the differences column.
00:44
So for instance, 4 .4 minus 5 .6 is going to give us negative 1 .2.
00:49
And we'll fill in the rest of the table similarly.
00:52
So we fill in the rest of the values again, subtracting before, minus, after, and we get the difference column filled in like that.
00:59
Now, what we want to do now is compute the mean difference.
01:03
And you can do that by hand or using a calculator.
01:06
I'm going to use technology because i also need the standard deviation of the difference, and it's just easier to do it with a calculator.
01:13
So we get a mean difference of negative 0 .61 and a standard deviation of one point, just one point out.
01:31
So those are our statistics for the differences.
01:37
And now what we're going to do is figure out the t score.
01:39
So it's going to be t is equal to the mean difference.
01:44
Minus the population difference, which we're going to assume that before and after are the same.
01:49
So that's just going to be zero...