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A First Course in Probability (10th Edition)
10th Edition
ISBN: 9780134753119
Author: Sheldon Ross
Publisher: PEARSON
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Question
![1. Consider the function \( f(x) = \frac{(x+1)^2}{15} \) for \( x = -2, -1, 0, 1, 2 \).
a) Verify that the function is a pdf.
b) Find \( E[X] \) directly, that is, evaluate \(\sum [x \cdot f(x)]\).
c) Find the moment generating function for \( X \).
d) Use the moment generating function to find \( E[X] \), verifying your answer to part b).
e) Find \( E[X^2] \) directly.
f) Use the moment generating function to find \( E[X^2] \).
g) Find the variance of \( X \) and the standard deviation of \( X \).](https://content.bartleby.com/qna-images/question/09fcf446-1afb-4b15-acb5-39347ac88924/711d476b-0674-4751-b893-59a7d2c3e6a2/923g9qc_thumbnail.jpeg)
Transcribed Image Text:1. Consider the function \( f(x) = \frac{(x+1)^2}{15} \) for \( x = -2, -1, 0, 1, 2 \).
a) Verify that the function is a pdf.
b) Find \( E[X] \) directly, that is, evaluate \(\sum [x \cdot f(x)]\).
c) Find the moment generating function for \( X \).
d) Use the moment generating function to find \( E[X] \), verifying your answer to part b).
e) Find \( E[X^2] \) directly.
f) Use the moment generating function to find \( E[X^2] \).
g) Find the variance of \( X \) and the standard deviation of \( X \).
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