3.53 Given the joint density function f(z, y) = , 0

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**Chapter 3: Random Variables and Probability Distributions**

**3.53** Given the joint density function

\[ 
f(x, y) = 
\begin{cases} 
\frac{6 - x - y}{8}, & 0 < x < 2, \, 2 < y < 4 \\ 
0, & \text{elsewhere}
\end{cases} 
\]

find \( P(1 < Y < 3 \mid X = 1.5) \).

---

**3.54** Determine whether the two random variables in Exercise 3.49 are dependent or independent.

---

The problem provides a joint density function for two continuous random variables \( X \) and \( Y \), defined over a specific region. The task is to calculate a conditional probability for \( Y \) given \( X \) has a specific value and to consider the independence of variables in another exercise.

If there were any graphs or diagrams in the image, they would be described in detail here.
Transcribed Image Text:Certainly! Here's the transcription suitable for an educational website: --- **Chapter 3: Random Variables and Probability Distributions** **3.53** Given the joint density function \[ f(x, y) = \begin{cases} \frac{6 - x - y}{8}, & 0 < x < 2, \, 2 < y < 4 \\ 0, & \text{elsewhere} \end{cases} \] find \( P(1 < Y < 3 \mid X = 1.5) \). --- **3.54** Determine whether the two random variables in Exercise 3.49 are dependent or independent. --- The problem provides a joint density function for two continuous random variables \( X \) and \( Y \), defined over a specific region. The task is to calculate a conditional probability for \( Y \) given \( X \) has a specific value and to consider the independence of variables in another exercise. If there were any graphs or diagrams in the image, they would be described in detail here.
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