00:01
We've been given some information, and i'm going to turn that into probability notation.
00:06
So there's a test for a rare disease, and we know that 2 % of the population have the disease.
00:12
So probability of somebody having the disease, we'll just put d, is 2%.
00:18
So the test is 95 % accurate.
00:22
So the probability of testing positive, given that you have the disease, will be 95%.
00:26
The probability of testing positive given you don't have the disease will be only 5%.
00:35
So that's what it's meaning by accuracy.
00:39
So basically the probability of giving the correct result, whether you have the disease or not.
00:45
Now let's have a look at some questions.
00:48
Part a, how many people have the disease? well, 2 % of 10 ,000.
00:52
So we'll take our proportion, 1 .02, and we'll supply it by 10 ,000.
00:58
Of course this won't work if you do 2 times 10 ,000.
01:01
But let's see what we get.
01:05
So that's 200 people.
01:10
How many who have the disease will test positive? so there's 200 people.
01:15
Out of that, 95 % will test positive.
01:22
So 0 .95.
01:26
So that is 190 of them.
01:31
The over 10 will test negative.
01:33
How many people don't have the disease? well, you either have the disease or you either have the disease.
01:37
Don't.
01:38
If 200 people have it, 9 ,800 do not...