When X has a binomial distribution with total number n of trials and success probability p, we use the notation, X\sim B(n,p).  Suppose that independent random variables X and Y have binomial distributions such that X\sim B(n,p) and Y\sim B(n,q), where 0 The mgf X+Y of 2(pe^t + (1-p))^{n} is  when p=q. E[X+Y] = 2n when p+q=1 (n-X) \sim B(n,1-p)

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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When X has a binomial distribution with total number n of trials and success probability p, we use the notation, X\sim B(n,p). 

Suppose that independent random variables X and Y have binomial distributions such that X\sim B(n,p) and Y\sim B(n,q), where 0<p<1 and 0<q<1. 

Answer the following true/false questions.

(n-X+Y) \sim B(2n,q) when p+q=1 <True or False>

The mgf X+Y of 2(pe^t + (1-p))^{n} is  when p=q. <True or False>

E[X+Y] = 2n when p+q=1 <True or False>

(n-X) \sim B(n,1-p) <True or False>

X(1-Y) \sim B(1,p(1-q)) when n=1 <True or False>

P(X=x,Y=y) = P(XY = xy) <True or False>

 

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