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- IfXand Y are Two Random Variables and X, Y and o, 2 are the Corresponding Means and Variance of X and y Y respectively then, Х-Х Ү-Ү Y -Y 1 x Cov(X, Y) Cov Oy Ox OyThe random variable X takes values -1, 0, 1 with probabilities 1/8, 3/8, 4/8 respectively. a) Write the CDF of X. b) Write the PMF of Y = X² + 2. %3D c) Compute E(Y).Let X and Y be two random variables such that E(X)=1, E(Y)=2, X, = 3X-2 and Y = 2Y +1. If Cov(X,,Y) = -4, then E(XY) = 17/6 8/6 27/6 None of these
- Let X ∼ N (0, 1) and Y ∼ Ber(p) be two independent random variables. find the law of S = X + YShow that if X E x²(m) and Y E x²(n) are independent random variables, then (X/m)/(Y/n) E F(m, n).2. Let the independent random variables X1 and X2 have Bin(0.1,2) and Bin(0.5, 3), respectively. (a) Find P(X1 = 2 and X2 = 2). (b) Find P(X1 + X2 = 1). (c) Find E(X1 + X2). (d) Find Var(X1 + X2).
- Three statistically independent random variables X₁, X₂ and X₂ have mean values X₁ =3, X₂ = 6 and X₂ = -2. Find the mean values of the following functions: 1 2 (a) (b) g(X₁, X₂, X3)= X₁ +3X₂ + 4X3 29 g(X₁, X₂, X3) = X₁X₂X₂ 29Let X and Y denote two random variables. Which of the following can be used to compute Var(X)? A. E[Var(X|Y)] + Var(Var(X|Y)) B. E[E[X|Y]] + Var(Var(X|Y)) C. E[Var(X|Y)] + Var(E[X|Y]) D. Var(E[X|Y]) + Var(Var(X|Y))Let X and Y be random variables having the same distribution. Show that Cov(X +Y, X – Y) = 0.