Generalisation. The mathematical expectation of the product of a number of independent random variables is equal to the product of their expectations. Symbolically, if X1, X, . X, are n independent r.v.'s, then E (X1, X2, ... X,) E (X1) E (X2) ... E (X„) E I x.) = I E (X), i.e., i = 1 provided all the expectations exist.

College Algebra
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ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
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Chapter9: Counting And Probability
Section9.3: Binomial Probability
Problem 33E: Sick leave probability that a given worker at Dyno Nutrition Will call in sick on a Monday is 004....
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Prove the theorem

independent random variables is equal to the product of their expectations. Symbolically, if X1,
X2, ..., X, are n independent r.v.'s, then
Generalisation. The mathematical expectation of the product of a number of
E (X1, X2, ... X„) = E (X1) E (X2) ... E (X„)
E( I x) = 1 E (X),
i.e.,
i = 1
i = 1
provided all the expectations exist.
Transcribed Image Text:independent random variables is equal to the product of their expectations. Symbolically, if X1, X2, ..., X, are n independent r.v.'s, then Generalisation. The mathematical expectation of the product of a number of E (X1, X2, ... X„) = E (X1) E (X2) ... E (X„) E( I x) = 1 E (X), i.e., i = 1 i = 1 provided all the expectations exist.
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