Let X and Y be two random variables Show that VY EVYX VEYX
Let X and Y be two random variables. Show that V(Y) = E[V(Y|X)] + V[E(Y|X)].
Solution
this can be proved by using the law of total expectation which states that
E(X) = E(E(X|Y))
proof: from the definition of variance V(Y) = E[Y2] - E[Y]2 now applying the above law
V(Y) = E [ E [ Y2|X ] ] - [ E [ E [ Y|X ] ] ]2
= E [ V [ Y|X ] ] + [ E [ Y|X ]2 ] - [ E [ E [ Y|X ] ] ]2
= E [ V [ Y|X ] ] + E [ Y|X ]2 - [ E [ E [ Y|X ] ] ]2
= E [ V [ Y|X ] ] + ( E [ E [ Y|X ] ]2 - [ E [ E [ Y|X ] ] ]2 ) since the expectation of a sum is the sum of expectations
= E [ V [ Y|X ] ] + V [ E [ Y|X ] ]
![Let X and Y be two random variables. Show that V(Y) = E[V(Y|X)] + V[E(Y|X)].Solutionthis can be proved by using the law of total expectation which states that Let X and Y be two random variables. Show that V(Y) = E[V(Y|X)] + V[E(Y|X)].Solutionthis can be proved by using the law of total expectation which states that](/WebImages/11/let-x-and-y-be-two-random-variables-show-that-vy-evyx-veyx-1009096-1761520672-0.webp)