00:01
We're looking at the efficacy of a certain drug, 0 .35.
00:05
Okay, so if you give this to a random patient, p equals 0 .35, they are cured.
00:11
And we have a sample of size 135.
00:15
And we want to look at the distribution for the proportion of patients cured by this drug.
00:22
Okay, so what's this going to look like? so we have many, many samples of size, 135, and some of them are on average just going to have fewer people cured, just by probability.
00:37
Some are going to have more.
00:39
But what's it going to look like? well, initially, this is going to be binomial.
00:47
We have a series of independent trials, each member of a sample.
00:50
Each one has two outcomes.
00:52
They are cured or they're not.
00:53
And the same probability of being cured is present for each person.
00:58
So we're looking at a binomial distribution.
01:00
And when you have a...
01:01
Have a really big sample like this, a binomial can be very easily approximated by a normal distribution...