The joint distribution of two continuous random variables X and Y are given by: [xx{xy) =...
The joint distribution of two continuous random variables $X$ and $Y$ are given by: $f_{X,Y}(x,y) = Cxy$, for $0\leq x\leq y\leq 1$, and $0$ elsewhere. 1. Find $C$ to make $f_{X,Y}(x,y)$ a valid probability density function. Enter the numerical value of $C$ here: 2. What should be the correct PDF for $f_X(x)$: A. $f_X(x) = 2x$ for $0\leq x\leq 1$, and $0$ elsewhere. B. $f_X(x) = 3x^2$ for $0\leq x\leq 1$, and $0$ elsewhere. C. $f_X(x) = 4x(1-x^2)$ for $0\leq...
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?
Let X and Y be continuous random variables with joint pdf fx y (x, y)-3x, 0 Sy and zero otherwise. 2. sx, a. What is the marginal pdf of X? b. What is the marginal pdf of Y? c. What is the expectation of X alone? d. What is the covariance of X and Y? e. What is the correlation of X and Y?
(II) Multiple continuous random variables: 8.2 Let X and Y have joint density fXY(x,y) = cx^2y for x and y in the triangle defined by 0 < x < 1, 0 < y < 1, 0 < x + y < 1 and fXY(x,y) = 0 elsewhere. a. What is c? b. What are the marginals fX(x) and fY(y)? c. What are E[X], E[Y], Var[X] and Var[Y]? d. What is E[XY]? Are X and Y independent?
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.
Continuous Random variables X and Y have the following joint PDF given below: fxy = Cx2y2 for 0 sx s 1 and 0 sy s 2 OR fxy=0 otherwise What is the value of constant C? Express it in 2-digit accuracy (e.g. 0.12)
Given the joint pdf of the continuous RVs X and Y: fxy(x, y) = c for the region {0 sxs yo sy s 1} and zero elsewhere.Where “c” is a constant. Determine if the RV X and Y are independent.
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.
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...