4. Two RVs with a joint pdf given as follows fx.x ), 0<x< 1,0 <y<1 otherwise...
Given the joint pdf of the continuous RVs X and Y: fxy(x, y) = c for the region {0 sxs y,0 < y < 1} and zero elsewhere.Where “c” is a constant. Determine if the RV X and Y are independent. (30 Marks)
Given the joint pdf of the continuous RVs X and Y: fxy(x, y) = c for the region {0 sxs y,0 s y < 1} and zero elsewhere.Where “c” is a constant. Determine if the RV X and Y are independent. (30 Marks)
Suppose X, Y are random variables whose joint PDF is given by fxy(x,y) = { 0<y<1,0<=<y 0, otherwise 1. Find the covariance of X and Y. 2. Compute Var(X) and Var(Y). 3. Calculate p(X,Y)
The joint pdf of two continuous RVs X and Y is given by (4e-22–24 0 < x,y< f(x, y) = { otherwise Then cov(X,Y) equals Hint – Think of the exponent identity eath = eeb and how this can be used to factorize or simplify joint pdf. OO 0.28 0 -0.46 O 0.83 1
Let the random variables x and y have joint pdf as follows: 4 x < 1,0< y< 3 0 3 2) (round off to third decimal place). Find P(X>
(Sec 5.1) Suppose the joint pdf of two rvs X and Y is given by $15x2y for 0 < x sys1 f(x,y) = 10 otherwise (a) Verify that this is a valid pdf. (b) What is P(X+Y < 1)? (c) What is the probability that X is greater than .7? (Hint: it might help to find the marginal pdf first)
5. Let the joint density of X and Y be fr(x,) = (x + y, fxy(x, y) = 0, 0<x< 1,0 <y <1 otherwise (a) Find the marginal pdfs of X and Y. (b) Are X and Y independent? (c) Are X and Y correlated? (d) Find P(X + Y < 1).
Q2) (20 points) The joint pdf of a two continuous random variables is given as follows: < x < 2,0 < y<1 (cxy0 fxy(x, y) = } ( 0 otherwise 1) Find c. 2) Find the marginal PDFs of X and Y. Make sure to write the ranges. Are these random variables independent? 3) Find P(0 < X < 110 <Y < 1) 4) What is fxy(x\y). Make sure to write the range of X.
7. The joint pdf of two random variables X and Y is given by 0sxs3,0s y<5 fx(x,y) 15' 0, otherwise Find Cov(X,y)
1) Let X and Y have joint pdf: fxy(x,y) = kx(1 – x)y for 0 < x < 1,0 < y< 1 a) Find k. b) Find the joint cdf of X and Y. c) Find the marginal pdf of X and Y. d) Find P(Y < VX) and P(X<Y). e) Find the correlation E(XY) and the covariance COV(X,Y) of X and Y. f) Determine whether X and Y are independent, orthogonal or uncorrelated.