00:01
So here we're given this table comparing the standard of care to the experimental treatment.
00:07
And we have a total number here of participants equal to 4492.
00:17
And the standard of care group, so this is group 1, this is group 2, this is n1, this is n2.
00:34
And this is n, which is n1 plus n2.
00:39
And this is x.
00:42
This is x1, the number who actually end up getting hiv despite treatment.
00:49
So my proportion here for the total group is going to be 52 over 4492.
00:57
For group 1, i have p -hat 1, which is 39 divided by 2250.
01:11
And my p -hat 2 for group 2, that is 13 out of 2244.
01:23
And i want to know, based on the available data, how confident am i that the experimental treatment is more effective than the standard of care? so i want then, let's see, the p -value for the hypothesis test, p1 is p2, versus the alternative.
01:50
So this is the same as p1 minus p2 is 0.
01:55
And here i want p1 to be less than the proportion.
02:04
No, i want that to be greater than because i want the experiment to be more effective.
02:12
So i want the proportion to get hfe to be lower...