(a)
So range of variation of X is,
Range of variation of Y is,
Given that,
Here first integration is with respect to x and then with respect to y.
That means c = lower limit of x d = upper limit of x
a = lower limit of y b = upper limit of y
a =
0
b = x
c = y
d = 1
---------------------------------------------------------
(b)
So range of variation of X is,
Range of variation of Y is,
Given that,
Here first integration is with respect to y and then with respect to x.
That means a = lower limit of x b = upper limit of x
c = lower limit of y d = upper limit of y
a =
y
b = 1
c = 0
d = x
---------------------------------------------------------
fxy (x,y) dady. a) The probability of the event that 0 < Y < X <1...
1. The joint probability density function (pdf) of X and Y is given by fxy(x, y) = A (1 – xey, 0<x<1,0 < y < 0 (a) Find the constant A. (b) Find the marginal pdfs of X and Y. (c) Find E(X) and E(Y). (d) Find E(XY). 2. Let X denote the number of times (1, 2, or 3 times) a certain machine malfunctions on any given day. Let Y denote the number of times (1, 2, or 3...
4. Two random variables X and Y have the following joint probability density function (PDF) Skx 0<x<y<1, fxy(x, y) = 10 otherwise. (a) [2 points) Determine the constant k. (b) (4 points) Find the marginal PDFs fx(2) and fy(y). Are X and Y independent? (c) [4 points) Find the expected values E[X] and EY). (d) [6 points) Find the variances Var[X] and Var[Y]. (e) [4 points) What is the covariance between X and Y?
a. Given the joint probability den- sity function fxy(x, y) as, Skxy, (x, y) e shaded area Jxy(, 9) = 10 otherwise Find [i] k [ii] fx(x) [iii] fy(y) Are X and Y independent? b. Given the joint probability density function fxy(x, y) as, fxy(x, y) = { 0 kxy, (x, y) E shaded area otherwise Find [i] k [ii] fx(x) [iii] fy(y) Are X and Y independent? 2 1
. Let X and Y be two random variables with joint probability density function fx,y(x, y)-cy for 0 x 1 and 0 y 1. (Note: fxy(x,y) = 0 outside this domain ) (a) Find the marginal distribution fx(x). (b) Find the value of constant c, using the fact that fx,y(x, y) dx dy = 1.
[1] The joint probability density function of two continuous random variables X and Y is fxy(x, y) = {0. sc, 0 <y s 2.y < x < 4-y = otherwise Find the value of c and the correlation of X and 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.
Let the random variables X, Y with joint probability density function (pdf) fxy(z, y) = cry, where 0 < y < z < 2. (a) Find the value of c that makes fx.y (a, y) a valid pdf. (b) Calculate the marginal density functions for X and Y (c) Find the conditional density function of Y X (d) Calculate E(X) and EYIX) (e Show whether X. Y are independent or not.
1. Let X and Y be two jointly continuous random variables with joint CDF otherwsie a. Find the joint pdf fxy(x, y), marginal pdf (fx(x) and fy()) and cdf (Fx(x) and Fy)) b. Find the conditional pdf fxiy Cr ly c. Find the probability P(X < Y = y) d. Are X and Y independent?
( xy 7. CHALLENGE: fxy(x, y) = 0< < 2, 0 <y <1 otherwise 0 Find P(X+Y < 1) HINT: consider the region of the XY plane where the inequality is true.
Thejoint PDFofabivariate RV (X,Y ) is given by fXY (x,y)= where k isaconstant. (a) Determine the value of k. (b) Find themarginal PDFsof X andY. (c) Find P(0<X <1/2,0<Y <1/2). (d) Findtheconditional PDFs fY|X(y|x) and fX|Y (x|y). (e) Computetheconditional meansE[Y |x] andE[X|y]. (f) Computetheconditional variancesVar(Y |x) andVar(X|y). otherwise { k, 0<y≤x<1, 0, otherwise, Thejoint PDFofabivariate RV (X,Y ) is given by fXY (x,y)= { k, 0<y≤x<1, 0, otherwise, where k isaconstant. (a) Determine the value of k. (b) Find themarginal...