Let X and Y have joint density
f(x, y) = e−y 1[0 < x < y]
Show that Y and X/Y are independent.
Let X and Y have joint density function f(x, y) = e −(x+y) , x, y > 0 0, elsewhere. a. What is Pr(X < 1, Y > 5)? b. What is Pr(X + Y < 3)?
5. Let X and Y have joint probability density function of the form Skxy if 0 < x +y < 1, x > 0 and y > 0, f(x,y)(, y) = { 0 otherwise. (a) What is the value of k? (b) Giving your reasons, state whether X and Y are dependent or independent. (c) Find the marginal probability density functions of X and Y. (d) Calculate E(X) and E(Y). (e) Calculate Cov(X,Y). (f) Find the conditional probability density function...
Let X and Y have a joint probability density function f(x, y) = 6(1 − y), 0 ≤ x ≤ y ≤ 1, =0, elsewhere. (a) Find the marginal density function for X and Y . (b) E[X], E[Y ], and E[X − 3Y ]
2. Let X and Y have joint density f(x.v) = \ şcy? if 0 <x< 1 and 1 <y<2, otherwise. (a) Compute the marginal probability density function of Y. If it's equal to 0 outside of some range, be sure to make this clear. (b) Set up but do not compute an integral to find P(Y < 2X).
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...
4. Let X and Y have joint probability density function f(x,y) = 139264 oray3 if 0 < x, y < 4 and y> 4-1, otherwise. (a) Set up but do not compute an integral to find E(XY). (b) Let fx() be the marginal probability density function of X. Set up but do not compute an integral to find fx(x) when I <r54. (c) Set up but do not compute an integral to find P(Y > X).
Let X and Y have joint pdf f(x, y)= e if 0 < x < y< o and zero otherwise. Find Е(X |у). 16.
Let X and Y have the joint pdf f(x,y) = e-x-y I(x > 0,y > 0). a. What are the marginal pdfs of X and Y ? Are X and Y independent? Why? b. Please calculate the cumulative distribution functions for X and Y, that is, find F(x) and F(y). c. Let Z = max(X,Y), please compute P(Z ≤ a) = P(max(X,Y) ≤ a) for a > 0. Then compute the pdf of Z.
Let f(x,y) = (1+xy)/4, if |x|<1 and |y|<1 and f(x,y) = 0, otherwise be the joint probability density function of (X, Y ). (a) Are X and Y independent? (b) Are X2 and Y 2 independent?
3. Suppose X and Y have joint density f(x,y)- "cy. 0 < x < y < oo, and equal to 0 for all other (r, y). (a) Calculate the joint density of U = Y-X,V-X. (b) Are U and V independent?