(i) Let X be a random variable taking on the values – 1 and 1, each with probability 1/2. Find E(X) and E(X'). (ii) Now let X be a random variable taking on the values 1 and 2, each with probability 1/2. Find E(X) and E(1/X). (iii) Conclude from parts (i) and (ii) that, in general, E[g(X)] + g[E(X)] for a nonlinear function g(-). (iv) Given the definition of the F random variable in equation (B.43), show that E(F) = E [(X/k2). Can you conclude that E(F) = 1?

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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(i) Let X be a random variable taking on the values – 1 and 1, each with probability 1/2. Find E(X)
and E(X').
(ii) Now let X be a random variable taking on the values 1 and 2, each with probability 1/2. Find
E(X) and E(1/X).
(iii) Conclude from parts (i) and (ii) that, in general,
E[g(X)] + g[E(X)]
for a nonlinear function g(-).
(iv) Given the definition of the F random variable in equation (B.43), show that
E(F) = E
[(X/k2).
Can you conclude that E(F) = 1?
Transcribed Image Text:(i) Let X be a random variable taking on the values – 1 and 1, each with probability 1/2. Find E(X) and E(X'). (ii) Now let X be a random variable taking on the values 1 and 2, each with probability 1/2. Find E(X) and E(1/X). (iii) Conclude from parts (i) and (ii) that, in general, E[g(X)] + g[E(X)] for a nonlinear function g(-). (iv) Given the definition of the F random variable in equation (B.43), show that E(F) = E [(X/k2). Can you conclude that E(F) = 1?
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