6.8. X ~ Exp(A), where 1 > 0, i.e., X is a continuous random variable with pdf fx(x) de-dr for x > 0; = 0 elsewhere. Let 0 be any real number with 0

6.8. X ~<br>Exp(A), where 1 > 0, i.e., X is a continuous random variable with pdf fx(x)<br>de-dr for<br>x > 0; = 0 elsewhere. Let 0 be any real number with 0 < A.<br>Compute E(eºX). Using the law of the unconscious statistician will be the easiest way and this is how<br>I recommend you do this computation. Then answer: why was it necessary to have 9 < X?<br>

Extracted text: 6.8. X ~ Exp(A), where 1 > 0, i.e., X is a continuous random variable with pdf fx(x) de-dr for x > 0; = 0 elsewhere. Let 0 be any real number with 0 < a.="" compute="" e(eºx).="" using="" the="" law="" of="" the="" unconscious="" statistician="" will="" be="" the="" easiest="" way="" and="" this="" is="" how="" i="" recommend="" you="" do="" this="" computation.="" then="" answer:="" why="" was="" it="" necessary="" to="" have="" 9=""><>

Jun 06, 2022

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6.8. X ~ Exp(A), where 1 > 0, i.e., X is a continuous random variable with pdf fx(x) de-dr for x > 0; = 0 elsewhere. Let 0 be any real number with 0

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