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Exercise 3. Let X be a random variable with mean and variance o2. For a ER, consider the expectation E((X− a)²). a) Write E((X - a)²) in terms of a, μ and o². b) For which value a is E((X – a)²) minimal? c) For the value a from part (b), what is E((X-a)²)?

Exercise 3. Let X be a random variable with mean and variance o2. For a ER, consider the expectation E((X− a)²). a) Write E((X - a)²) in terms of a, μ and o². b) For which value a is E((X – a)²) minimal? c) For the value a from part (b), what is E((X-a)²)?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Exercise 3. Let X be a random variable with mean and variance o2. For a ER, consider the expectation E((X - a)²). a) Write E((X - a)²) in terms of a, μ and o². b) For which value a is E((X − a)²) minimal? c) For the value a from part (b), what is E((X-a)²)?
Transcribed Image Text:Exercise 3. Let X be a random variable with mean and variance o2. For a ER, consider the expectation E((X - a)²). a) Write E((X - a)²) in terms of a, μ and o². b) For which value a is E((X − a)²) minimal? c) For the value a from part (b), what is E((X-a)²)?
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