Let Y1, Y2 have the joint density
f(y1,y2) = 4y1y2 for 0 ≤ y1,y2 ≤ 1 = 0 otherwise
(a) (8 pts) Calculate Cov(Y1, Y2).
(b) (3 pts) Are Y1 and Y2 are independent? Prove your answer
rigorously.
(c) (6 pts) Find the conditional mean E(Y2|Y1 = 1). 3
Let Y1, Y2 have the joint density f(y1,y2) = 4y1y2 for 0 ≤ y1,y2 ≤ 1...
2. Let the random variables Y1 and Y, have joint density Ayſy22 - y2) 0<yi <1, 0 < y2 < 2 f(y1, y2) = { otherwise Stom.vn) = { isiml2 –») 05451,05 ms one a independent, amits your respon a) Are Y1 and Y2 independent? Justify your response. b) Find P(Y1Y2 < 0.5). on the
Let Yı, Y, have the joint density S 2, 0 < y2 <yi <1 f(y1, y2) = 0, elsewhere. Use the method of transformation to derive the joint density function for U1 = Y/Y2,U2 = Y2, and then derive the marginal density of U1.
Let Y1 have the joint probability density function given by and Y2 k(1 y2), 0 s y1 y2 1, lo, = elsewhere. (a) Find the value of k that makes this a probability density function k = (b) Find P 1 (Round your answer to four decimal places.)
Q 3. The joint density of Yı, Y2 is given by e-4342 p(y1, y2) = - T, Y1 = 0,1, 2, ...; Y2 = 0, 1, 2, ... a. Find the marginal distribution of Yı. b. Find the conditional distribution of Y2 given that Y1 = yı. c. Determine if Yı and Y2 are independent - justify; you can use your result from b.
Consider two random variables with joint density fY1,Y2(y1,y2) =(2(1−y2) 0 ≤ y1 ≤ c,0 ≤ y2 ≤ c 0 otherwise (a) Find a value for c. (4 marks) (b) Derive the density function of Z = Y1Y2. (10 marks) . Consider two random variables with joint density fyiy(91, y2) = 2(1 - y2) 0<n<C,0<42 <c o otherwise (a) Find a value for c. (4 marks) (b) Derive the density function of Z=Y Y. (10 marks)
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...
5.4.([1] 5.6) The joint density function for Y1 and Y2 is f(y1,92) = {o 0 < y1 = 1,0 < y2 = 1 else a) what is P[Y1-Y2>0.5]? b) what is P[Y|Y2<0.5]?
5.3.([1] 5.5) The joint density of Y and Y2 is given by 0 < y2 < y1 <1 else f(y1.92) = {3 a) Find F (33) = P[Y; <z, Y s. b) Find P[Y2 = ").
yi 24 The joint probability function of Y1 and Y2 is given. 0 1/8 3/8 Y2 1 2/8 1/8 3 0 1/8 Find (a) Cov(Y1, Y2) and (b) the correlation coefficient p of Y, and Y2.
A) Find fY1 and show that the area under this is one B) Find P(Y1 > 1/2) Let (Y1, Y2) denote the coordinates of a point chosen at random inside a unit circle whose center is at the origin. That is, Y1 and Y2 have a joint density function given by 1 yiy f(y, y2) 0, - elsewhere Let (Y1, Y2) denote the coordinates of a point chosen at random inside a unit circle whose center is at the origin....