Suppose that X and Y are continuous random variables with the following joint p.d.f.:
(a) Find fX|Y =y(x|y).
(b) Calculate EX[X|Y = y]
(c) Calculate VarX[X|Y = y]
(d) Calculate E[Y]
(e) Show that VarY [EX(X|Y = y)] = VarY [2/3Y ].
(f) Find VarX(X|Y = 1/2)
(g) Find EX[X|Y = 0.2]
(h) Without any calculation, what is P(X < Y )? Explain your answer.
(i) Without any calculation, what is FX,Y (2,2)? Explain your answer.
Suppose that X and Y are continuous random variables with the following joint p.d.f.: (a) Find...
1. Let X and Y be two jointly continuous random variables with joint CDF otherwsie a. Find the joint pdf fxy(x, y), marginal pdf (fx(x) and fy()) and cdf (Fx(x) and Fy)) b. Find the conditional pdf fxiy Cr ly c. Find the probability P(X < Y = y) d. Are X and Y independent?
The joint probability density function of two continuous random variables X and Y is Find the value of c and the correlation of X and Y. Consider the same two random variables X and Y in problem [1] with the same joint probability density function. Find the mean value of Y when X<1. fxy(x,y) = { C, 0 <y < 2.y < x < 4-y 10, otherwise
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 that X and Y are random variables the following joint PDF: fxy(x,y) = otherwise Determine fx, the marginal PDF of X. a. etermine Fx, the marginal CDF of X.
Suppose X and Y are continuous random variables with joint density function 1 + xy 9 fx,y(2, y) = 4 [2] < 1, [y] < 1 otherwise 0, (1) (4 pts) Find the marginal density function for X and Y separately. (2) (2 pts) Are X and Y independent? Verify your answer. (3) (9 pts) Are X2 and Y2 independent? Verify your answer.
Let X and Y be random variables for which the joint p.d.f. is as follows: f (x, y) = 2(x + y) for 0 ≤ x ≤ y ≤ 1, 0 otherwise.Find the cumulative distribution function (c.d.f.) of X and Y.Find p.d.f. of Z=X+Y.
[1] The joint probability density function of two continuous random variables X and Y is fxy(x, y) = {0. sc, 0 <y s 2.y < x < 4-y = otherwise Find the value of c and the correlation of X and Y.
Problem 8: Let X and Y be continuous random variables. The joint density of X and Y is given by: fxy (x, y)2 if 0 yx< 1. Find the correlation coefficient of X and Y, pxy. Problem 8: Let X and Y be continuous random variables. The joint density of X and Y is given by: fxy (x, y)2 if 0 yx
2. Let X and Y be two continuous random variables varying in accordance with the joint density function, fx.y(z, y-e(x + y) for 0 < z < y < 1. Solve the following problem s. (1) Find e, fx(a) and fy (v) (2) Find fx-u(z) and fY1Xux(y) (8) Find P(Y e (1/2, 1)|X -1/3) and P(Y e (1/2,2)| X 1/3). 3. Find P(X < 2Y) if fx.y(zw) = x + U for X and Y each defined over the unit...
Suppose that X and Y are jointly continuous random variables with joint density f(x, y) = ( ye−xy 0 < x < ∞, 1 < y < 2 0 otherwise (a) Given that X > 1, what is the expected value of Y ? That is, calculate E[Y | X > 1]. (b) Given that X > Y , what is the expected value of X? For this part, you are only required to set up the requisite integrals, but...