Q1. Calculate E(Y) for the following pdfs: a. f(y) = 3(1 – y)², 0 < y < 1 b. f(y) = 4ye-2", y > 0

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Chapter1: Combinatorial Analysis
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Chapters: Expected value & Variance of a continuous random variable

 

 

 

 

 

**Q1. Calculate \( E(Y) \) for the following PDFs:**  

a. \( f(y) = 3(1-y)^2, \quad 0 \leq y \leq 1 \)  

b. \( f(y) = 4ye^{-2y}, \quad y \geq 0 \)  

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**Q2.** If \( Y \) has PDF \( f(y) = 2y \) for \( 0 < y < 1 \), then \( E(Y) = \frac{2}{3} \). Define the random variable \( W \) to be the squared deviation of \( Y \) from its mean, that is, \( W = \left(Y - \frac{2}{3}\right)^2 \). Find \( E(W) \).
Transcribed Image Text:**Q1. Calculate \( E(Y) \) for the following PDFs:** a. \( f(y) = 3(1-y)^2, \quad 0 \leq y \leq 1 \) b. \( f(y) = 4ye^{-2y}, \quad y \geq 0 \) --- **Q2.** If \( Y \) has PDF \( f(y) = 2y \) for \( 0 < y < 1 \), then \( E(Y) = \frac{2}{3} \). Define the random variable \( W \) to be the squared deviation of \( Y \) from its mean, that is, \( W = \left(Y - \frac{2}{3}\right)^2 \). Find \( E(W) \).
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