00:01
All right, so for this problem, we first want to figure out what our null and alternative hypotheses are.
00:07
The null hypothesis would be that the mean difference, mean diff, is equal to zero, that is population mean difference, and the alternative hypothesis based on the setup to the problem here, if the emissions are higher at 40 degrees fahrenheit, then if we're doing 40 minus 80, then the alternative hypothesis should be that the mean difference is greater than zero.
00:37
So what we want to do is first calculate out the difference for each one of our trucks.
00:44
So we do 834 .7 minus 815 .2 for a result of 19 .5, and then apply the same idea for each one of these.
00:54
Then for our little table of values for the difference, we can see that, well, there are 10, or the sample size is 10.
01:02
Using excel, which i'm assuming you are intended to do this problem in excel, based on the format of how everything was given here.
01:10
We can find the mean difference by taking the average over the difference column.
01:15
The s -d -d -e -v -s for sample standard deviation.
01:20
Grab everything in our difference column.
01:23
Then the standard error is going to be equal to the standard, or pardon me, the standard deviation of the differences, divided by the square root of the sample size.
01:35
So we divide by the square root of 10, getting a result of roughly 13 .4.
01:40
Then for the information down here, the number of degrees of freedom is going to be our sample size, n, minus 1.
01:50
So we have nine degrees of freedom.
01:53
Our test statistic, t, i'll write out the formula explicitly on screen here, one second...