Problem Pi. Consider the following probability density function (pdf) for some continuous random variable X defined by { * 372 f (x) = 64 if 0 1) (b)The expected value of X, (i.e., E(X)) (c)The expected value of X², (i.e., E(X²) ) (d)The variance of X, (i.e., V(X) )

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
Question

Please solve P1

**Problem P₁.**

Consider the following probability density function (pdf) for some continuous random variable \( X \) defined by

\[
f(x) = 
\begin{cases} 
\frac{3x^2}{64} & \text{if } 0 \leq x \leq 4 \\
0 & \text{elsewhere} 
\end{cases}
\]

Compute each of the following:

(a) \( p(x \geq 1) \)

(b) The expected value of \( X \), (i.e., \( E(X) \) )

(c) The expected value of \( X^2 \), (i.e., \( E(X^2) \) )

(d) The variance of \( X \), (i.e., \( V(X) \) )

(e) Find the 85th percentile value of \( X \)? (Hint: Find \( M \) such that \( p(x \leq M) = .85 \) )

---

This problem requires evaluating several properties of a continuous random variable \( X \) using its probability density function over the specified range. The tasks involve calculating probabilities, expected values, and the variance, as well as determining a specific percentile value.
Transcribed Image Text:**Problem P₁.** Consider the following probability density function (pdf) for some continuous random variable \( X \) defined by \[ f(x) = \begin{cases} \frac{3x^2}{64} & \text{if } 0 \leq x \leq 4 \\ 0 & \text{elsewhere} \end{cases} \] Compute each of the following: (a) \( p(x \geq 1) \) (b) The expected value of \( X \), (i.e., \( E(X) \) ) (c) The expected value of \( X^2 \), (i.e., \( E(X^2) \) ) (d) The variance of \( X \), (i.e., \( V(X) \) ) (e) Find the 85th percentile value of \( X \)? (Hint: Find \( M \) such that \( p(x \leq M) = .85 \) ) --- This problem requires evaluating several properties of a continuous random variable \( X \) using its probability density function over the specified range. The tasks involve calculating probabilities, expected values, and the variance, as well as determining a specific percentile value.
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