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

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