Use the definition in Expression (3.13) to prove that V(aX

Chapter 4, Problem 41E

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QUESTION:

Use the definition in Expression (3.13) to prove that V(aX + b) = ?2. ?2x [ Hint: With h(X) = aX + b, E[h(X)] = aµ = b where µ = E(X).] Reference Expression (3.13 The variance of h(X) is the expected value of the squared difference between h(X) and its expected value: When h(X) = aX + b, a linear function, Substituting this into (3.13) gives a simple relationship between V[h(X)] and V(X):

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QUESTION:

Use the definition in Expression (3.13) to prove that V(aX + b) = ?2. ?2x [ Hint: With h(X) = aX + b, E[h(X)] = aµ = b where µ = E(X).] Reference Expression (3.13 The variance of h(X) is the expected value of the squared difference between h(X) and its expected value: When h(X) = aX + b, a linear function, Substituting this into (3.13) gives a simple relationship between V[h(X)] and V(X):

ANSWER:

Problem 41E Answer: Step1: We have the variance of h(X) is the expected value of the squared difference between h(X) and its expected value: V [h(x)]= 2 = {h(x) E[h(x)]} • P(x) ……….(1) h(x) x When h(X) = aX + b, a linear function, h(x) E[h(x)] = ax + b (a + b) = a(x ) Substituting this into (1) gives a simp

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