Question: we have two random variables x and y p x...
We have two random variables X and Y. P( X = .25 ) = .25 , P(X = .5 ) = .5 , and the P( X = .75 ) = .25
Suppose Y is a Bernoulli Random Variable and the Joint Distribution of X and Y satisfies condiiton that E[Y|X] = X^2
Help me calculate E[XY] & E[Y/X] & E[X|Y]
I imagine we start by calculating E[X] which i got as .5, then calculate E[X^2] as 9/32 since we can rationalize that E[E[Y|X] == E[x^2] == 9/32 == E[Y] which gives us E[Y]. THough after this, we'll need to find E[XY] which equals Cov(X,Y) + E[x]*E[Y] , I can't figure out how to find the Covariance or how to test if these are independent.