
A First Course in Probability (10th Edition)
10th Edition
ISBN: 9780134753119
Author: Sheldon Ross
Publisher: PEARSON
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![**Problem 2: Joint Probability Density Function**
The continuous random variables \(X\) and \(Y\) have a known joint probability density function, \(f_{XY}(x,y)\), given by
\[
f_{XY}(x,y) =
\begin{cases}
\frac{(x+y)}{8} & \text{for } 0 \leq x \leq 2, 0 \leq y \leq 2 \\
0 & \text{otherwise}
\end{cases}
\]
Define the random variable \(Z\) as \(Z = \min(X, Y)\).
Tasks:
a) Determine the probability density function \(f_Z(z)\) of the random variable \(Z\).
b) Determine the probability \(\Pr\{0.5 < Z \leq 1.5\}\).
c) Determine \(E\{Z\}\) and \(\text{var}\{Z\}\).](https://content.bartleby.com/qna-images/question/9328926a-b343-4d47-8a00-cbd9e6e36ac2/e2d8a220-0d93-42b2-a4cb-888869d99072/izc64mj_thumbnail.jpeg)
Transcribed Image Text:**Problem 2: Joint Probability Density Function**
The continuous random variables \(X\) and \(Y\) have a known joint probability density function, \(f_{XY}(x,y)\), given by
\[
f_{XY}(x,y) =
\begin{cases}
\frac{(x+y)}{8} & \text{for } 0 \leq x \leq 2, 0 \leq y \leq 2 \\
0 & \text{otherwise}
\end{cases}
\]
Define the random variable \(Z\) as \(Z = \min(X, Y)\).
Tasks:
a) Determine the probability density function \(f_Z(z)\) of the random variable \(Z\).
b) Determine the probability \(\Pr\{0.5 < Z \leq 1.5\}\).
c) Determine \(E\{Z\}\) and \(\text{var}\{Z\}\).
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