3. The joint pdf for random variables X and Y is given by 0 otherwise Calculate...
3. The joint pdf for random variables X and Y is given by eu) X,Y(T,3 otherwise (a) What is E(XYy)? (b) Caleulate E(X) by conditioning (Ex]JE[xjY- vlfr(v)dy)
3. The joint pdf for random variables X and Y is given by 10 (a) What is E(XYy)? (b) Calculate E(X) by conditioning ( EX E[XY-yfy()dy )
Suppose X, Y are random variables whose joint PDF is given by . 1 0 < y < 1,0 < x < y y otherwise 0, 1. Find the covariance of X and Y. 2. Compute Var(X) and Var(Y). 3. Calculate p(X,Y).
Problem 3: (15 points) The random variables X and Y have the joint PDF otherwise 1) Determine the marginal PDFs fx(x) and fy (y) 2 Determine EX and E[Y: 3) Determine Cov[X, Y]
Suppose X, Y are random variables whose joint PDF is given by fxy(x,y) = { 0<y<1,0<=<y 0, otherwise 1. Find the covariance of X and Y. 2. Compute Var(X) and Var(Y). 3. Calculate p(X,Y)
Question 3 [17 marks] The random variables X and Y are continuous, with joint pdf 0 y otherwise ce fxx (,y) a) Show that cye fr (y) otherwise and hence that c = 1. What is this pdf called? (b) Compute E (Y) and var Y; (c) Show that { > 0 fx (a) e otherwise (d) Are X and Y independent? Give reasons; (e) Show that 1 E(XIY 2 and hence show that E (XY) =. Question 3 [17...
Suppose X, Y are random variables whose joint PDF is given by fxy(x, y) 9 { 0 <y <1,0 < x <y y otherwise 0, 1. Find the covariance of X and Y. 2. Compute Var(X) and Var(Y). 3. Calculate p(X,Y).
1. Consider a pair of random variables (X, Y) with joint PDF fx,y(x, y) 0, otherwise. (a) 1 pt - Find the marginal PDF of X and the marginal PDF of Y. (b) 0.5 pt - Are X and Y independent? Why? (e) 0.5 pt - Compute the mean of X and the mean of Y.
The joint PDF of two random variables X and Yis given by x)-0 otherwise Determine the value of the constant c The joint PDF of two random variables X and Yis given by x)-0 otherwise Determine the value of the constant c
X and Y are random variables with the joint PDF fx.^(t,y)-65536 0 otherwise. (a) What is the marginal PDFfx(x)? ㄑㄨ 8 5xA4/65536 fx(x) 0 otherwise (b) What is the marginal PDF fy(v)? (5 * 843)/(3*655 0 〈y〈 64 fy(y) = 0 otherwise