MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Please help on parts c, d, and e. 

**Problem: Probability Distribution and Random Variables**

If a random variable \( X \) with the following distribution has a mean value of 0.6, find:

\[
\begin{array}{|c|c|c|c|c|c|}
\hline
x & -1 & 0 & 1 & 2 & 3 \\
\hline
P(X=x) & m & n & 0.2 & 0.1 & 0.2 \\
\hline
\end{array}
\]

**Questions:**

a) Determine the values of \( m \) and \( n \).

b) Calculate \( P(X \leq 1) \).

c) Find the variance of \( X \).

d) Compute the expected value of \( Y = 3X + 1 \).

e) Determine the variance of \( Y = 3X + 1 \).

**Instructions:**

1. Use the definition of the mean (expected value) to find \( m \) and \( n \).

2. Use the probability rules to compute \( P(X \leq 1) \).

3. Apply the formula for variance to find the variance of \( X \).

4. Use properties of expectation and linear transformations to find the expected value of \( Y \).

5. Use properties of variance under linear transformations to find the variance of \( Y \).
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Transcribed Image Text:**Problem: Probability Distribution and Random Variables** If a random variable \( X \) with the following distribution has a mean value of 0.6, find: \[ \begin{array}{|c|c|c|c|c|c|} \hline x & -1 & 0 & 1 & 2 & 3 \\ \hline P(X=x) & m & n & 0.2 & 0.1 & 0.2 \\ \hline \end{array} \] **Questions:** a) Determine the values of \( m \) and \( n \). b) Calculate \( P(X \leq 1) \). c) Find the variance of \( X \). d) Compute the expected value of \( Y = 3X + 1 \). e) Determine the variance of \( Y = 3X + 1 \). **Instructions:** 1. Use the definition of the mean (expected value) to find \( m \) and \( n \). 2. Use the probability rules to compute \( P(X \leq 1) \). 3. Apply the formula for variance to find the variance of \( X \). 4. Use properties of expectation and linear transformations to find the expected value of \( Y \). 5. Use properties of variance under linear transformations to find the variance of \( Y \).
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