#5. Random variables X and Y have joint PDF 6exp[-(2x+3y)] ,x20, y 20 0 , otherwise x20,y20 (a) Find P[X>Y] and P[X +Y s 1 (b) Find P[ min(x.Y)1] (o) Find P| max(x.y)s1 #5. Random variable...
1) (15 pts) Random variables X and Y have joint PDF: 16e (2x+3) x20, y 20 fx.y(x, y) = 0 otw a.) (4 pts) What is P[X>Y]? b.) (6 pts) What are fx(x) and fy(y)? c.) (2 pts) Are X and Y independent? d.) (3 pts) What is P[max(X,Y) < 1)?
The joint pdf of random variables X and Y is given by f(x.y)-k if 0 s y sx s 2 and f(x,y) =0 otherwise. a. Find the value of k b. Find the marginal pdfs of X and Y. Are X and Y independent? c. Find Covariance (X,Y) and Correlation(X,Y). Why cannot we say that X and Y have linear relation Y-a X+ b, where a and b are real numbers?
The random variables X and Y have the joint PDF -fa.. 2 0 S x s 1 0 Sy s1 (2х + Зу) fxy(x, y) = otherwise The mean squared error is defined as ET(X + Y - t)21, what value of t minimizes this error? The random variables X and Y have the joint PDF -fa.. 2 0 S x s 1 0 Sy s1 (2х + Зу) fxy(x, y) = otherwise The mean squared error is defined as...
The random variables X and Y have the joint PDF -fa.. 2 0 S x s 1 0 Sy s1 (2х + Зу) fxy(x, y) = otherwise The mean squared error is defined as ET(X + Y - t)21, what value of t minimizes this error? The random variables X and Y have the joint PDF -fa.. 2 0 S x s 1 0 Sy s1 (2х + Зу) fxy(x, y) = otherwise The mean squared error is defined as...
Problem 2 - Three Continuous Random Variables Suppose X,Y,Z have joint pdf given by fx,YZ(xgz) = k xyz if 0 S$ 1,0 rS 1,0 25 1 ) and fxyZ(x,y,z) = 0, otherwise. (a) Find k so that fxyz(x.yz) is a genuine probability density function. (b) Are X,Y,Z independent? (c) Find PXs 1/2, Y s 1/3, Z s1/4). (d) Find the marginal pdf fxy(x.y). (e) Find the marginal pdf fx(x). Problem 2 - Three Continuous Random Variables Suppose X,Y,Z have joint...
Questionl The random variable X and Y have the following joint probability mass function: 0.14 0.27 0.2 0.1 0.03 0.15 0.1 a) Determine the b) Find P(X-Y>2). c) Find PX s3|Y20) d) Determine E(XY) e) Determine E(X) and E(Y). f) Are X and Y independent? marginal pmf for X and Y. Question 2 Let X and Y be independent random variables with pdf 2-y 0sxS 2 f(x)- f(p)- 0, otherwise 0, otherwise a) b) Find E(XY). Find Var (2X +...
2. Let the random variables X and Y have the joint PDF given below: (a) Find P(X + Y ≤ 2). (b) Find the marginal PDFs of X and Y. (c) Find the conditional PDF of Y |X = x. (d) Find P(Y < 3|X = 1). Let the random variables X and Y have the joint PDF given below: 2e -0 < y < 00 xY(,) otherwise 0 (a) Find P(XY < 2) (b) Find the marginal PDFs of...
2. The joint pdf of random variables X and Y is given by f(x.y) k if 0 sysxs2 and f(x,y)-0 otherwise. a. Find the value of k b. Find the marginal pdfs of X and Y. Are X and Y independent? c. Find Covariance (X,Y) and Correlation(X,Y). Why cannot we say that X and Y have linear relation Yea X+ b, where a and b are real numbers?
X and Y are random variables with the joint PDF: f(x,y)= cxy^2 where 0<=x<=9; 0<=y<=9 0 otherwise find: - constant c - P[min(X,Y) <= 4.5] - P[max(X,Y) <= 6.75]
2. Let the random variables X and Y have the joint PDF given below: S 2e-2-Y 0 < x < y < fxy(x,y) = { 0 otherwise (a) Find P(X+Y < 2). (b) Find the marginal PDFs of X and Y. (c) Find the conditional PDF of Y|X = r. (d) Find P(Y <3|X = 1).