(c) Find the marginal distribution of X and Y. (d) What is Cov(X,Y)? (e) Find the probability density function of X conditional on Y = 1.5.
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- Let X and Y random variables have independent Gamma distributions with X-Gamma(1, 6) and Y-Gamma(2, B). a. Find the joint probability density of Z, = X + Y, Z, = X+Y a. Find the marginal pdf of Z2.Suppose that the random variables X and Y have a joint probability density function f(x, y) = c(x + y)² for 0≤x≤ 1 and 0 ≤ y ≤ 1. (a) Find c. (b) Let Z = (X + Y)−¹, find E[Z]. (c) Find the marginal distribution of X and Y. (d) What is Cov(X, Y)? (e) Find the probability density function of X conditional on Y = 1.5.Let X be a random variable with pdf f(x) = kx*,-1Determine the conditional probability distribution of Y given that X = 2. Where the joint probability density function is given by f(x,y)= 1 - (x + y) for 1 < x < 4 and 0 < y < 3.Let X be a random variable with uniform distribution on the interval [-2,2]. Let Y be defined as Y = X5. Calculate the pdf of Y.Suppose that the random variables X and Y have the following joint probability density function. ƒ(x, y) = ce-6x-3y, 0 < y < x. (a) Find P(X < 1, Y < (b) Find the marginal probability distribution of X.