Exercise 3. Let X be a random variable with mean µ and variance o². For a E R, consider the expectation E((X – a)?). a) Write E((X – a)²) in terms of a, u 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)?

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
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Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 31E
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Exercise 3. Let X be a random variable with mean u and variance o2. For a E R, 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 u and variance o2. For a E R, 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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