Problem5 Let Xand Y be the Gaussian random variable with means ,nx and my , and variances σ and σ. respectively. Assuming that X and Y are independent, find PXY>0].Express your result in ter...
x>0,y>0. Problem 6 Consider the following joint pdf for the random variable X and Y where denotes a unit step function. (a) Find the constant C. (b) Find the marginal PDF's of X and Y. (c) Find the conditional PDF's fx(xY-y) and s, (ylX-x) (d) Find the conditional expected values, EX 1 Y = y} and EX X = Problem 6 Consider the following joint pdf for the random variable X and Y where denotes a unit step function. (a)...
15. Problem 15. Show that if pxy (r.v) -Px ()py () for any (r,y) E x x y (independent random variables) then: EIXY-EX] E[Y: factorazibility of crpectation values; b) sex.r-sx)+s(): aditinity of entropy Note that pxy (r, y) denotes the probability density function of the joint random variable (x, Y), while px (a) and py (u) are the marginal probability density functions of and Y, respectively. The Shannon eatropy (messured in units of nats) of the joint system (X. Y)...
2. Let X and Y be jointly Gaussian random variables. Let ElX] = 0, E[Y] = 0, ElX2-4. Ey2- 4, and PXY = [5] (a) Define W2x +3. Find the probability density function fw ( of W. [101 (b) Define Z 2X - 3Y. Find P(Z > 3) 5] (c) Find E[WZ], where W and Z are defined in parts (a) and (b), respectively.
3-3.3 Two independent random variables, X and Y, have Gaussian probability density functions with means of 1 and 2, respectively, and variances of 1 and 4, respectively. Find the probability that XY > 0. 3-3.3 Two independent random variables, X and Y, have Gaussian probability density functions with means of 1 and 2, respectively, and variances of 1 and 4, respectively. Find the probability that XY > 0.
Problem 3 [5 points) (a) [2 points] Let X be an exponential random variable with parameter 1 =1. find the conditional probability P{X>3|X>1). (b) [3 points] Given unit Gaussian CDF (x). For Gaussian random variable Y - N(u,02), write down its Probability Density Function (PDF) [1 point], and express P{Y>u+30} in terms of (x) [2 points)
3. [30 pts.] Let X be a Gaussian random variable N (0,0). Find the PDF, fy(y), of the random variable: Y = X3
2. Let X and Y be independent, standard normal random variables. Find the joint pdf of U = 2X +Y and V = X-Y. Determine if U and V are independent. Justify.
Let X, y, and U be jointly normal zero-mean random variables with variances Problem 1 4, 2, and 1, respectively, such that E XY 1. Assume that U is independent of X and Y Let Z = X + Y + U. Find the joint PDF of X, Y. and Z. Your answer should be explicit C1 and not contain vectors or matrices. Let X, y, and U be jointly normal zero-mean random variables with variances Problem 1 4, 2,...
Let the random variable X and Y have joint pdf f(x,y)=4/7(x2 +3y2), 0<x<1, 0<y<1 a. find E(X) and E(Y) b. find Var(X) and Var(Y) c. find Cov (X,Y)
Let (X,Y) have joint density f(x,y) -2x for0 <x < 1,0sys1 and 0 elsewhere. (a) Find P(xY > z) for 0szs1. Your final answer should be a function of z. (Hint: if you pick up a particular z, say,武what is the area within the unit square of 0 x 1 and 0 y 1 such that xy > z? P1.68 shows what you need to do, i.e., a double integral. Note thatz is a constant from the perspective of both...