(13) Let X be a random variable that takes only positive values. If E|X| < ∞, prove that E(X) · E(1/X) > 1. (a) Since f (t) = 1/t is a convex function for t > 0, Jensen's inequality gives that E(1/X) > 1/E(X). (b) Since f(t) = 1 = tlt is a convex function for t > 0, Jensen's inequality gives that E(1/X) > 1/E(X). (c) The statement of the problem is, in fact, false. (d) Follows by Markov's inequality (e) Follows by Chebyshev's inequality. The correct answer is (a) (b) (c) (d) (e) N/A (Select One)

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(13) Let X be a random variable that takes only positive values. If E|X| < ∞, prove that E(X) · E(1/X) > 1.
(a) Since f (t) = 1/t is a convex function for t > 0, Jensen's inequality gives that E(1/X) > 1/E(X).
(b) Since f(t) = 1 = t/t is a convex function for t > 0, Jensen's inequality gives that E(1/X) > 1/E(X).
(c) The statement of the problem is, in fact, false.
(d) Follows by Markov's inequality.
(e) Follows by Chebyshev's inequality.
The correct answer is
(a)
(b)
(c)
(d)
(е)
N/A
(Select One)
Transcribed Image Text:(13) Let X be a random variable that takes only positive values. If E|X| < ∞, prove that E(X) · E(1/X) > 1. (a) Since f (t) = 1/t is a convex function for t > 0, Jensen's inequality gives that E(1/X) > 1/E(X). (b) Since f(t) = 1 = t/t is a convex function for t > 0, Jensen's inequality gives that E(1/X) > 1/E(X). (c) The statement of the problem is, in fact, false. (d) Follows by Markov's inequality. (e) Follows by Chebyshev's inequality. The correct answer is (a) (b) (c) (d) (е) N/A (Select One)
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Jensen’s Inequality:

For a continuous and convex function, the Jensen’s inequality is given by

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