00:01
Here we consider the p -value for some hypothesis test that is 0 .075, and we're asked for which of the following would be true.
00:14
Now recall that a p -value is the probability, under the assumption of the null hypothesis, of getting a sample as contradictory to the null hypothesis as the one that we got.
00:27
So the smaller the p -value is, the more contradictory our sample is to the null hypothesis, which means that we are more likely to reject the null hypothesis if the p -value is smaller.
00:42
And by convention, we reject the null hypothesis when the p -value is smaller than the set significance level.
01:00
So in this case we are going to reject the null hypothesis for any significance level bigger than 0 .075.
01:09
So this is reject, 0 .1.
01:13
D says accept for 0 .1, so that's wrong.
01:19
D says reject for alpha equals 0 .1, so so far so good for d...