4. (Sec. 5.2, 00) Let X and Y be continuous rvs with the joint f(x, y)...
The joint pdf of two continuous RVs X and Y is given by (4e-22–24 0 < x,y< f(x, y) = { otherwise Then cov(X,Y) equals Hint – Think of the exponent identity eath = eeb and how this can be used to factorize or simplify joint pdf. OO 0.28 0 -0.46 O 0.83 1
4. Let X and Y be continuous random variables with joint density function f(x, y) = { 4x for 0 <x<ys1 otherwise (a) Find the marginal density functions of X and Y, g(x) and h(y), respectively. (b) What are E[X], E[Y], and E[XY]? Find the value of Cov[X, Y]
Let X and Y be continuous random variables with following joint pdf f(x, y): y 0<1 and 0<y< 1 0 otherwise f(x,y) = Using the distribution method, find the pdf of Z = XY.
please show steps Q.8 Let X and Y be continuous rvs with the joint pdf f(x, y) = (3/2)xy, for 0 < x, 0 < y, 0 < x + y < 2 and 0 otherwise. (a) Find E[X + Y ] and E[X − Y ] (b) Find E[XY ] (c) Find E[Y |X = x] and E[X|Y = y]. (d) Find Cov[X, Y ]
55. Let X and Y be jointly continuous random variables with joint density function fx.y(x,y) be-3y -a < x < 2a, 0) < y < 00, otherwise. Assume that E[XY] = 1/6. (a) Find a and b such that fx,y is a valid joint pdf. You may want to use the fact that du = 1. u 6. и е (b) Find the conditional pdf of X given Y = y where 0 <y < . (c) Find Cov(X,Y). (d)...
(Sec. 5.2, 00) Let X and Y be discrete random variable’s with possible values {−1, 1} and {2, 4} respectively, and with joint pmf p(x, y) = 2 / (3x * 2y) for x ∈ {−1, 1}, y ∈ {2, 4} and 0 otherwise. Find: (a) E[X], E[Y ], and E[X + Y ] (b) E[XY ] (c) Cov[X, Y ] (d) Cov[3X + 5, 2 − Y ]
2. Suppose X and Y are continuous random variables with joint density function f(x, y) = 1x2 ye-xy for 1 < x < 2 and 0 < y < oo otherwise a. Calculate the (marginal) densities of X and Y. b. Calculate E[X] and E[Y]. c. Calculate Cov(X,Y).
1. Suppose X and Y are continuous random variables with joint pdf f(x,y) 4(z-xy) if = 0 < x < 1 and 0 < y < 1, and zero otherwise. (a) Find E(XY) b) Find E(X-Y) (c) Find Var(X - Y) (d) What is E(Y)?
8. Let X and Y be a random variable with joint continuous pdf: f(x,y)- 0< y <1 0, otherwise a. b. c. Find the marginal PDF of X and Y Find the E(X) and Var(X) Find the P(X> Y)
Let X and Y be continuous random variables with joint distribution function: f(x,y) = { ** 0 <y < x <1 otherwise What is the P(X+Y < 1)?