Suppose that two normal random variables X∼N(μx​,σx2​) and Y∼N(μy​,σy2​) are dependent. Their joint distribution can be expressed as fX,Y​(x,y)=2πσx​σy​1−rho2​1​e−2(1−rho2)1​(zxz​−2rhozx​sy​+zy2​), where rho is the (population) correlation coefficient of X and Y,Zx​ and Zy​ are standard normal random variables computed from X and Y, respectively. (a) Derive the marginal pdf of X. (7) (b) Find the mean and variance of the conditional distribution of Y given X,[FY∣X​(y∣x)]. (5) (c) Let X∼N(50,100) and Y∼N(60,400) with rho=0.75. Find the conditional distribution of Y∣X=x (4)