9.37 Let X₁, X2,..., X, denote n independent and identically distributed Bernoulli random vari- ables such that P(X; = 1) = p and P(X; = 0) = 1- p, =1 for each i = 1, 2, ..., n. Show that ΣX; is sufficient for p by using the factorization criterion given in Theorem 9.4.
9.37 Let X₁, X2,..., X, denote n independent and identically distributed Bernoulli random vari- ables such that P(X; = 1) = p and P(X; = 0) = 1- p, =1 for each i = 1, 2, ..., n. Show that ΣX; is sufficient for p by using the factorization criterion given in Theorem 9.4.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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![**Problem 9.37**
Let \( X_1, X_2, \ldots, X_n \) denote \( n \) independent and identically distributed Bernoulli random variables such that
\[ P(X_i = 1) = p \quad \text{and} \quad P(X_i = 0) = 1 - p, \]
for each \( i = 1, 2, \ldots, n \). Show that \( \sum_{i=1}^{n} X_i \) is sufficient for \( p \) by using the factorization criterion given in Theorem 9.4.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F763773a4-b59e-428b-8a3f-bc3dd5fb97d6%2F343713a7-8021-4f63-9528-9f0420f82f04%2Fr9f9sq8_processed.png&w=3840&q=75)
Transcribed Image Text:**Problem 9.37**
Let \( X_1, X_2, \ldots, X_n \) denote \( n \) independent and identically distributed Bernoulli random variables such that
\[ P(X_i = 1) = p \quad \text{and} \quad P(X_i = 0) = 1 - p, \]
for each \( i = 1, 2, \ldots, n \). Show that \( \sum_{i=1}^{n} X_i \) is sufficient for \( p \) by using the factorization criterion given in Theorem 9.4.
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