Choose... (n – X +Y) ~ B(2n, q) when p+q = 1 Choose... The mgf of X+Y is 2(pe' +(1 – p))" when p=q · Choose... E[X +Y] = 2n when p+q=1

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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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.

E[X+Y] = 2n when p+q=1

(n-X) \sim B(n,1-p)

X(1-Y) \sim B(1,p(1-q)) when n=1

P(X=x,Y=y) = P(XY = xy)

Choose...
(n – X +Y) ~ B(2n, q) when p+q=1
Choose...
The mgf of X+Y is 2(pe' +(1 – p))" when p=q .
Choose...
E[X+Y] = 2n when p+q= 1
Choose... →
(n - X) ~ B(n,1 – )
Choose...
X(1 – Y) ~ B(1, p(1 – q)) when n=1
P(X = x, Y = y) = P(XY = xy)
Windows Choose.. +
[설정]으로 이동하여 Windows
정품 연
Transcribed Image Text:Choose... (n – X +Y) ~ B(2n, q) when p+q=1 Choose... The mgf of X+Y is 2(pe' +(1 – p))" when p=q . Choose... E[X+Y] = 2n when p+q= 1 Choose... → (n - X) ~ B(n,1 – ) Choose... X(1 – Y) ~ B(1, p(1 – q)) when n=1 P(X = x, Y = y) = P(XY = xy) Windows Choose.. + [설정]으로 이동하여 Windows 정품 연
we use the notation,
When Y has a binomial distribution with total number n of trials and success probability p
X ~ B(n, p) -
Suppose that independent random variables X and y have binomial distributions such that X~ B(n.p)
and Y
B(n, q) ,where 0 <p<1_and 0 < q< 1
Answer the following true/false questions.
Transcribed Image Text:we use the notation, When Y has a binomial distribution with total number n of trials and success probability p X ~ B(n, p) - Suppose that independent random variables X and y have binomial distributions such that X~ B(n.p) and Y B(n, q) ,where 0 <p<1_and 0 < q< 1 Answer the following true/false questions.
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