3. Consider n independent observations X1,..., X, of a Poisson random variable with param- eter 1. (a) Use Chebyshev's inequality to evaluate the minimum number of observations needed to achieve 1 Xị. i=1 P(|Xn- A| < 0.01) > 0.9, where Xn n (b) Repeat the computations using the Central Limit Theorem. Note: Remember that the Poisson distribution is a discrete distribution with PMF fx(x; A) х! where xe {0,1,2,3,……}, and 1 > 0 and hence E(X) = A , and Var(X) = A.
3. Consider n independent observations X1,..., X, of a Poisson random variable with param- eter 1. (a) Use Chebyshev's inequality to evaluate the minimum number of observations needed to achieve 1 Xị. i=1 P(|Xn- A| < 0.01) > 0.9, where Xn n (b) Repeat the computations using the Central Limit Theorem. Note: Remember that the Poisson distribution is a discrete distribution with PMF fx(x; A) х! where xe {0,1,2,3,……}, and 1 > 0 and hence E(X) = A , and Var(X) = A.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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