3-2. For each of u= E(X), E[X(X-1)], μ²: following distributions, find and o2 = E[X(X-1)]+E(X)- 31 (-)/(x) = x1( ³² D (G)(); x!(3-x)! 4! (b) f(x)= vl(4 x = 0, 1, 2, 3. x=0, 1, 2, 3, 4.
3-2. For each of u= E(X), E[X(X-1)], μ²: following distributions, find and o2 = E[X(X-1)]+E(X)- 31 (-)/(x) = x1( ³² D (G)(); x!(3-x)! 4! (b) f(x)= vl(4 x = 0, 1, 2, 3. x=0, 1, 2, 3, 4.
A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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![2.3-2. For each of the following distributions, find
u= E(X), E[X(X-1)], and o2 = E[X(X-1)]+E(X)-
(a) f(x) =
(b) f(x) =
31
x!(3-x)!
4!
()'()*;
()*
x1(4
x = 0, 1, 2, 3.
x=0, 1, 2, 3, 4.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2b62c17d-5c05-48d6-ac2b-a3a7c31907f7%2Fd82f178b-ccd3-45a3-89d6-2bd7620ffcb4%2Fjsmd627_processed.jpeg&w=3840&q=75)
Transcribed Image Text:2.3-2. For each of the following distributions, find
u= E(X), E[X(X-1)], and o2 = E[X(X-1)]+E(X)-
(a) f(x) =
(b) f(x) =
31
x!(3-x)!
4!
()'()*;
()*
x1(4
x = 0, 1, 2, 3.
x=0, 1, 2, 3, 4.
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