1. (a) W = log (1). Here log is log base e. i. Find the range of W. ii. Find the density of W. The joint distribution of two random variable X and Y is (b) Part (a) and (b) of this question are independent. Suppose a random variable U follows Uniform(0,1) distribution. Define fxy(x, y) = 8 xy 1(0
1. (a) W = log (1). Here log is log base e. i. Find the range of W. ii. Find the density of W. The joint distribution of two random variable X and Y is (b) Part (a) and (b) of this question are independent. Suppose a random variable U follows Uniform(0,1) distribution. Define fxy(x, y) = 8 xy 1(0
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![1. Part (a) and (b) of this question are independent.
(a) Suppose a random variable \( U \) follows Uniform(0,1) distribution. Define
\[ W = \log \left( \frac{U}{1-U} \right). \]
Here log is log base \( e \).
i. Find the range of \( W \).
ii. Find the density of \( W \).
(b) The joint distribution of two random variables \( X \) and \( Y \) is
\[
f_{X,Y}(x,y) = 8xy \, 1_{(0<y<x<1)}.
\]
Here \( 8xy \, 1_{(0<y<x<1)} \) means \( 8xy \) when \( 0 < y < x < 1 \) and zero otherwise. Define \( Z = \frac{Y}{X} \).
i. Find the range of \( X \). Find the range of \( Z \).
ii. Find the joint density \( g_{X,Z}(x,z) \) of \( X \) and \( Z \). Hint: Use the change of variable formula for \( (X,Y) \) to \( (X,Z(X,Y)) \) in Lecture 31.
iii. Find the marginal density of \( X \).
iv. Find the marginal density of \( Z \).
v. Are \( X \) and \( Z \) independent?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fff93c792-abd7-4eff-ba98-8a1e3cbd1351%2F9d360ec9-c703-48fa-bf0f-a43fe473037b%2Fvutzy88_processed.png&w=3840&q=75)
Transcribed Image Text:1. Part (a) and (b) of this question are independent.
(a) Suppose a random variable \( U \) follows Uniform(0,1) distribution. Define
\[ W = \log \left( \frac{U}{1-U} \right). \]
Here log is log base \( e \).
i. Find the range of \( W \).
ii. Find the density of \( W \).
(b) The joint distribution of two random variables \( X \) and \( Y \) is
\[
f_{X,Y}(x,y) = 8xy \, 1_{(0<y<x<1)}.
\]
Here \( 8xy \, 1_{(0<y<x<1)} \) means \( 8xy \) when \( 0 < y < x < 1 \) and zero otherwise. Define \( Z = \frac{Y}{X} \).
i. Find the range of \( X \). Find the range of \( Z \).
ii. Find the joint density \( g_{X,Z}(x,z) \) of \( X \) and \( Z \). Hint: Use the change of variable formula for \( (X,Y) \) to \( (X,Z(X,Y)) \) in Lecture 31.
iii. Find the marginal density of \( X \).
iv. Find the marginal density of \( Z \).
v. Are \( X \) and \( Z \) independent?
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