00:01
There is given a probability question, and this question is about the bayes theorem.
00:06
So first of all, the total population was given here.
00:08
Let me just denote by the sample space, which is ns.
00:12
That was given as 100 ,000.
00:15
And so i'm going to just define the event a.
00:19
So the a be the event that the person is under test, and b1b the event that the person has the cancer.
00:25
So the a is the event for the person.
00:29
This is the person is under test and the b1 is defined as the person has person has cancer so the probability of the person has the cancer which is denoted by p1 which is there are 2000 and given the population 100 ,000 if i simplify this is equal to 0 .0 to 1 2 3 1 2 3 which is 0 .02.
01:02
So what about one person is not cancer? so is not cancer means this is p1.
01:10
So this is b1 prime, right? and which is equal to, or i can just denote this as, so which is equal to 1 minus p1, which is 1 minus 0 .02, this is 0 .98.
01:24
So this is the problem.
01:26
So one person has not any cancer here...