A step by step solution 3. Suppose X and Y are random variables with joint probability...
A step by step solution
2. Suppose X and Y are random variables with joint probability density function of the form f(x, y) +y, for 0 S r S 1; and 0 SyS 1 and zero elsewhere. (a) Find the marginal distribution of X and Y. (b) Compute E(X), E(Y); Var(X) and Var(Y). (c) Compute Cov(X, Y). (d) Compute El(2X - Y)
2. Let X and Y be continuous random variables with joint probability density function fx,y(x,y) 0, otherwise (a) Compute the value of k that will make f(x, y) a legitimate joint probability density function. Use f(x.y) with that value of k as the joint probability density function of X, Y in parts (b),(c).(d),(e (b) Find the probability density functions of X and Y. (c) Find the expected values of X, Y and XY (d) Compute the covariance Cov(X,Y) of X...
3. Suppose that two continuous random variables X and Y have a joint probability density function given as f(x,y)- a) Find the value ofAK K(x-3)y, -2sxs 3, and 4s ys6 elsewhere
1) Suppose that three random variables, X, Y, and Z have a continuous joint probability density function f(x, y. z) elsewhere a) Determine the value of the constant b) Find the marginal joint p. d. fof X and Y, namely f(x, y) (3 Points) c) Using part b), compute the conditional probability of Z given X and Y. That is, find f (Z I x y) d) Using the result from part c), compute P(Z<0.5 x - 3 Points) 2...
3. Let the random variables X and Y have the joint probability density function 0 y 1, 0 x < y fxy(x, y)y otherwise (a) Compute the joint expectation E(XY) (b) Compute the marginal expectations E(X) and E (Y) (c) Compute the covariance Cov(X, Y)
3. Let the random variables X and Y have the joint probability density function fxr (x, y) = 0 <y<1, 0<xsy otherwise (a) Compute the joint expectation E(XY). (b) Compute the marginal expectations E(X) and E(Y). (c) Compute the covariance Cov(X,Y).
. Let X and Y be the proportion of two random variables with joint probability density function f(x, y)o, elsewhere. (a) Find P(X < 3|Y= 2). (b) Are X and Y independent? Why? (c) Find E(Y/X)
. Let X and Y be the proportion of two random variables with joint probability density function f(x, y)o, elsewhere. (a) Find P(X < 3|Y= 2). (b) Are X and Y independent? Why? (c) Find E(Y/X)
Exercise 3-6.1 Two random variables X and Y have a joint probability density function of the form 148 CHAPTER 3 SEVERAL RANDOM VARIABLES -0 elsewhere Find the probability density function of Z-XY. Answer: -In (z) Exercise 3-6.2 Show that the random variables X and Y in Exercise 3-6.1 are independent and find the expected value of their product. Find ElZ] by integrating the function zf(z) Answer: 1/4
The joint probability density function of the random variables X, Y, and Z is (e-(x+y+z) f(x, y, z) 0 < x, 0 < y, 0 <z elsewhere (a) (3 pts) Verify that the joint density function is a valid density function. (b) (3 pts) Find the joint marginal density function of X and Y alone (by integrating over 2). (C) (4 pts) Find the marginal density functions for X and Y. (d) (3 pts) What are P(1 < X <...