Consider a continuous random vector (Y, X) with joint probability density function F(x,y) = e-y for...
Consider a continuous random vector (Y, X) with joint probability density function
F(x,y) = e-y for 0<x<y<∞
- Compute the marginal density of X denoted by f(x).
- Compute the conditional density of Y given X denoted by f(y|x). Hint: Consider the two cases y > x and y ≤ x separately.
- Compute the conditional expectation E[Y |X = x].
- Compute the conditional variance Var(Y |X = x).
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Consider a continuous random vector (Y, X) with joint
probability density function
F(x,y) = e-y for...
The joint probability density function for continuous random variables X and Y is given below. f...
The joint probability density function for continuous random variables X and Y is given below. f (x) = x + y, 0 < x < 1, 0 < y < 1 if; 0, degilse. (a) Show that this is a joint density function. (b) Find the marginal density of X . (c) Find the marginal density of Y . (d) Given Y = y find the conditional density of X . (e) P ( 1/2 < X < 1|Y =...
The joint probability density function for continuous random variables X and Y is given below. f...
The joint probability density function for continuous random variables X and Y is given below. f (x) = x + y, 0 < x < 1, 0 < y < 1 if; 0, degilse. (a) Show that this is a joint density function. (b) Find the marginal density of X . (c) Find the marginal density of Y . (d) Given Y = y find the conditional density of X . (e) P ( 1/2 < X < 1|Y =...
The joint probability density function for continuous random variables X and Y is given below. f...
The joint probability density function for continuous random variables X and Y is given below. f (x) = x + y, 0 < x < 1, 0 < y < 1 if; 0, degilse. (a) Show that this is a joint density function. (b) Find the marginal density of X . (c) Find the marginal density of Y . (d) Given Y = y find the conditional density of X . (e) P ( 1/2 < X < 1|Y =...
1. Consider the joint probability density function 0<x<y, 0<y<1, fx.x(x, y) = 0, otherwise. (a) Find...
1. Consider the joint probability density function 0<x<y, 0<y<1, fx.x(x, y) = 0, otherwise. (a) Find the marginal probability density function of Y and identify its distribution. (5 marks (b) Find the conditional probability density function of X given Y=y and hence find the mean and variance of X conditional on Y=y. [7 marks] (c) Use iterated expectation to find the expected value of X [5 marks (d) Use E(XY) and var(XY) from (b) above to find the variance of...
Let X and Y be jointly continuous random variables with joint probability density given by f(x,...
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,...
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...
Problem 1. Let X and Y be continuous random variables with joint probability density function f(x,y)...
Problem 1. Let X and Y be continuous random variables with joint probability density function f(x,y) distributions for X and Y are (i/3) (x +y), for (x, y) in the rectangular region 0ss1,0Sys 2. The two marginal Ix(x)- (z+1), if 0 251 fy(y) = (1+2y), if0 y 2 Calculate E(x IY -v) and Var (X |Y ) for each y l0,2).
em 1. Let X and Y be continuous random variables with joint probability density function y...
em 1. Let X and Y be continuous random variables with joint probability density function y S 2. The two marginal Probl f(z, y) = (1/3)(z + y), fr (zw) in the rectangular region 0 distributions for X and Y are z 1,0 Calculate E(XIY_y) and Var (지Y-y) for each ye[O,2].
Two random variables, X and Y, have joint probability density function f ( x , y...
Two random variables, X and Y, have joint probability density function f ( x , y ) = { c , x < y < x + 1 , 0 < x < 1 0 , o t h e r w i s e Find c value. What's the conditional p.d.f of Y given X = x, i.e., f Y ∣ X = x ( y ) ? Don't forget the support of Y. Find the conditional expectation E [...
Let X and Y be joint continuous random variables with joint density function f(x, y) =...
Let X and Y be joint continuous random variables with
joint density function
f(x, y) = (e−y
y
0 < x < y, 0 < y, ∞
0 otherwise
Compute E[X2
| Y = y].
5. Let X and Y be joint continuous random variables with joint density function e, y 0 otwise Compute E(X2 | Y = y]
1. Consider the joint probability density function 0<x<y, 0<y<1, fx.x(x, y) = 0, otherwise. (a) Find the marginal probability density function of Y and identify its distribution. (5 marks (b) Find the conditional probability density function of X given Y=y and hence find the mean and variance of X conditional on Y=y. [7 marks] (c) Use iterated expectation to find the expected value of X [5 marks (d) Use E(XY) and var(XY) from (b) above to find the variance of...
Problem 1. Let X and Y be continuous random variables with joint probability density function f(x,y) distributions for X and Y are (i/3) (x +y), for (x, y) in the rectangular region 0ss1,0Sys 2. The two marginal Ix(x)- (z+1), if 0 251 fy(y) = (1+2y), if0 y 2 Calculate E(x IY -v) and Var (X |Y ) for each y l0,2).
em 1. Let X and Y be continuous random variables with joint probability density function y S 2. The two marginal Probl f(z, y) = (1/3)(z + y), fr (zw) in the rectangular region 0 distributions for X and Y are z 1,0 Calculate E(XIY_y) and Var (지Y-y) for each ye[O,2].
Let X and Y be joint continuous random variables with
joint density function
f(x, y) = (e−y
y
0 < x < y, 0 < y, ∞
0 otherwise
Compute E[X2
| Y = y].
5. Let X and Y be joint continuous random variables with joint density function e, y 0 otwise Compute E(X2 | Y = y]
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