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Mathematics, 09.09.2019 22:10 dakotaadkins20

Suppose that x has a geometric distribution where p(x) = p xβˆ’1 (1 βˆ’ p) for x = 1, 2, 3, 4, 5, . . (a) (bonus) show that the expected value e(x βˆ’ 1)(x βˆ’ 2) = 2p 2 (1 βˆ’ p) 2 by using the facts: x[infinity] x=1 d dpp(x) = 0 and x[infinity] x=1 d 2 dp2 p(x) = 0. hints: (i) e(x βˆ’ 1) = p[infinity] x=1(x βˆ’ 1)p(x) = p[infinity] x=1(x βˆ’ 1)p xβˆ’1 (1 βˆ’ p) (ii) using (i) and the first fact show e(x βˆ’ 1) = p 1βˆ’p (iii) using (ii) and the second fact show e(x βˆ’ 1)(x βˆ’ 2) = 2p 2 (1βˆ’p) 2 (b) use the answer from part (a) to calculate the variance of x. (c) calculate e(a x) for some number a that is |a| < 1. (d) use the answer from part (c) to calculate e(e tx) for some number t. for which values of t does this expectation not exist?

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Suppose that x has a geometric distribution where p(x) = p xβˆ’1 (1 βˆ’ p) for x = 1, 2, 3, 4, 5, . . (...
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