00:01
Okay, so we've got some data here about score before taking a drug, score after taking a drug, and we want to see if the drug improves the score or not.
00:13
So part one asks is this a one -tailed or a two -tailed test? well if we're testing to see whether it improves the score, then our null hypothesis, i know it asks for this later, but in order to find whether it's one or two -tailed we need to write these down.
00:28
So the null hypothesis is going to be that the difference d is zero, and the alternative hypothesis is going to be that the difference d is less than zero, i .e.
00:42
Because we're defining d is the score before minus the score after, so if we want the score after to be bigger then d must be negative.
00:50
And because this is a less than sign and not a not equal to sign it's going to be a one -tailed test.
01:00
This is going to be our rejection region over here.
01:03
So the answer to part one is going to be one -tailed.
01:09
Part two asks us to write a new column with the differences, so we can do that quite easily.
01:16
So the first difference is given by seven minus five, sorry it's given by five minus seven, they do x minus y, so that's minus two.
01:25
For patient bb it's six minus eight, which is again minus two.
01:29
For patient cc, six minus six is zero.
01:31
Dd, four minus four is zero.
01:34
Ee, three minus five is minus two.
01:37
And ff, four minus five is minus one...