00:01
Hi guys in this problem consider the question in this we will use a libis fug induction over random variable x.
00:09
So far at the beginning let assume that x is equal to i sub p for some known set p we have the mean of x given a is equal to the mean of a for i p.
00:30
Okay, so this is equal to probability of a when i p is equal to 1.
00:41
Okay, so this is b a of b and this is equal to b of b and this is equal to b a of a and p, okay, over probability of a.
01:00
And this is can be rewritten as mean of i b i a okay over probability of a okay so the claim for such a random variable holds now suppose that x is the finite linear combination of the indicator random variable such as x is just summation over j from one to n for a j i b j okay, so now we have the mean of x given a.
01:42
This is equal to the mean of summation over j from 1 to n for ij i bj given a.
01:56
Okay, so this is equal to summation over j from 1 to n for i j times e of i b i a over probability of a okay so this is just one over probability of a times the expected value for summation over j from 1 to n for a j i v j then then i a okay so this is equal to the expected value of x i .a over p a okay then we have limit over n for x n equals to x as a okay so the expected value of x as okay so the expected value of x x okay so the expected value of given a, okay, this is the expected value of limit over n, x n given a...