1. Let X1,..., Xn, Y1,..., Yn be mutually independent ran- dom variables, and 1 Z = EX,Y;. n i=1 Suppose for each i e {1,...,n}, X; ~ Bernoulli(p), Y; ~ Binomial(n, p). What is Var[Z]?

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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1.
Let X1,..., Xn, Y1,..., Yn be mutually independent ran-
dom variables, and
n
X;Y;.
n
i=1
Suppose for each i E {1,.., n}, X; ~ Bernoulli(p), Y; ~ Binomial(n, p).
What is Var[Z]?
Transcribed Image Text:1. Let X1,..., Xn, Y1,..., Yn be mutually independent ran- dom variables, and n X;Y;. n i=1 Suppose for each i E {1,.., n}, X; ~ Bernoulli(p), Y; ~ Binomial(n, p). What is Var[Z]?
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