00:01
For this problem, we know that we're trying to test to determine if the mean value of the differences is different than zero.
00:09
So null hypothesis, mu -d equals zero, alternate hypothesis, so that mu -d does not equal zero.
00:15
The way that we would do this is using a two -sample or using a paired samples, t -test.
00:26
The number of degrees of freedom for our t -distribution is going to be equal.
00:33
To our sample size minus 1.
00:37
So, looking at this, we know that we're testing with n equals 24 subjects.
00:43
We're testing at the level of significance, alpha equals 0 .01.
00:51
So our critical value will be plus or minus the t score for a left -tail cumulative probability of 0 .995.
01:09
So to the right, it should have alpha over 2 or half of alpha...