for 1 Sx soo and 2. Suppose that X and Y are continuous and jointly distributed...
Suppose X and Y are jointly distributed with density \ a. Find c. (b) Find the marginal distribution of X and Y. (c) Find P(X > 2). (d) Find (E[X2 ]). (e) Find the conditional distribution of Y, given that X = 1. (f) E[X], E[Y], E[XY], Cov(X,Y) and ρXY f(x,y)ce-(=/2+y/4) 0<y<I < 0 otherwise 0 f(x,y)ce-(=/2+y/4) 0
Let X and Y be jointly continuous random variables having joint density fxy(x,y) = 2 y + x1, x>0, y> O otherwise Find Cov(X,Y) and Determine the correlation coefficient PXY O A. Cov(X,Y) = -1/36 , PXY=-1/2 OB. Cov(X,Y) = -1/18, PXY= 1/3 OC. Cov(X,Y) = -1/36 , PXY=0 OD. Cov(X,Y) = 1/12, PXY--1/2
Let X and Y be jointly continuous random variables with joint probability density given by f(x, y) = 12/5(2x − x2 − xy) for 0 < x < 1, 0 < y < 1 0 otherwise (a) Find the marginal densities for X and Y . (b) Find the conditional density for X given Y = y and the conditional density for Y given X = x. (c) Compute the probability P(1/2 < X < 1|Y =1/4). (d) Determine whether...
Let X and Y be jointly continuous random variables with joint probability density given by f(x, y) = 12/5(2x − x2 − xy) for 0 < x < 1, 0 < y < 1 0 otherwise (a) Find the marginal densities for X and Y . (b) Find the conditional density for X given Y = y and the conditional density for Y given X = x. (c) Compute the probability P(1/2 < X < 1|Y =1/4). (d) Determine whether...
Let X, Y be jointly continuous with joint density function (pdf) fx,y(x, y) *(1+xy) 05 x <1,0 <2 0 otherwise (a) Find the marginal density functions (pdf) fx and fy. (b) Are X and Y independent? Why or why not?
Suppose X and Y are jointly continuous random variables with probability density function f(х+ у)={1/6(x + y), 0 < х < 1, 0 < у < 3; 0 , else} a) Find E[XY]. b) Are X and Y independent? Justify your answer citing an appropriate theorem.
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)...
Suppose the two-dimensional random variable (X, Y ) is uniformly distributed over the triangle of the figure.a) What is f.d.p.c. of (X,Y). Calculate P(0 < X ≤ 1, Y > 1). Make a graphic sketch of the regionthat you used to calculate the probability. b) Determine the marginal distributions. (X, Y ) are independent?c) Find E[X] ,V AR[X], E[Y ] e V AR[Y ];d) Determine the conditional distributions. Use the conditionals to answer : (X, Y ) areindependent?e) Calculate E[XY ],...
2. A continuous random variable has joint pdf f(x, y): xy 0 x 1, 0sys 2 f(x, y) otherwise 0 a) Find c b) Find P(X Y 1) b) Find fx(x) and fy(v) c) Are X and Y independent? Justify your answer d) Find Cov(X, Y) and Corr(X, Y) e) Find fxiy (xly) and fyixylx)
.1. Two discrete random variables X and Y are jointly distributed. The joint pmf is f(z, y) = 1/28 , SX = {0, 1, 2, 3, 4, 5,6}, and SY = {0, .... X), where Y is a non-negative integer a) Find the marginal pdfs of X and Y b) Caculate E(X) and E(Y). 2. Let the joint pdf of X aud Y be a) Draw the graph of the support of X and Y b) Determine c in the joint pdf. c) Find E(X +Y),...