Two balls are placed randomly into two boxes labeled as I and II. Let X denote the number of balls in box I and Y denote the number of occupied boxes.
(a) Find the joint density function of X and Y.
(b) Compute E(X) and the conditional expectation E(X|Y= 1).
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Two balls are placed randomly into two boxes labeled as I and II. Let X denote the number of balls in box I and Y denote the number of occupied boxes. (a) Find the joint density function of X and Y. (...
9. Let the joint density function of (X, Y) be E (0, oo fa,y) ye e forx (O,co) and y (o, co) (a) [4 points] Find fr) and fxy(xly) (b) [3 points] Compute the conditional expectation E(XIY). (c) [3 points] Find P(X > 3Y 1)
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 [...
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 the random variable X and Y
have the joint probability density function.
fxy(x,y) lo, 3. Let the random variables X and Y have the joint probability density function fxy(x, y) = 0<y<1, 0<x<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).
. There are two boxes with red and blue balls in them. Box I has 1 red and 4 blue balls; Box II has 3 red and 2 blue balls. There is a fair coin with Box I written on one side and Box II written on the other. You toss the coin and then draw 2 balls without replacement out of the box that comes up on the face of the coin. a. Let Y be the number of...
Suppose you have a bag with 5 black balls and 3 white balls and are extracted consecutively without replacement two samples of size 2 and 3. Let be X the number of black balls extracted of the first sample (2 balls extracted) and Y the number of black black balls extracted on the second sample (3 balls extracted). Find the joint density function. (The sum of marginals functions of Y or X given X=x or Y=y respectively must be 1)
There are two boxes with red and blue balls in them. Box I has 1 red and 4 blue balls; Box II has 3 red and 2 blue balls. There is a fair coin with Box I written on one side and Box II written on the other. You toss the coin and then draw 2 balls without replacement out of the box that comes up on the face of the coin. a. Let Y be the number of red...
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).
Exercise 6.B.3. Let the pair of random variables (X, Y) have joint density function f(x, y)-16(x-y)2 įf x, y e [0, 11, 0 otherwise. a. Confirm that f is a joint density function by verifying that equation (6.B.4) holds, and use a computer or graphing calculator to sketch its graph. b. Compute the marginal density function of Y c. For each x e [0,1], compute the conditional density of Y given x. d. Compute the conditional expectation function E(Y|X =...