Q1: Suppose the number of customers X that enter a store between the hours 9:00 a.m. and 10:00 a.m. follows a Poisson distribution with parameter 0. Suppose a random sample of the number of customers that enter the store between 9:00 a.m. and 10:00 a.m. for 10 days results in the values 9, 7, 9, 15, 10, 13, 11, 7, 2, 12 Determine the maximum likelihood estimate of 0. Show that it is an unbiased estimator.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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Q1: Suppose the number of customers X that enter a store between the hours 9:00 a.m. and
10:00 a.m. follows a Poisson distribution with parameter 0. Suppose a random sample of
the number of customers that enter the store between 9:00 a.m. and 10:00 a.m. for 10 days
results in the values
9, 7, 9, 15, 10, 13, 11, 7, 2, 12
Determine the maximum likelihood estimate of 0. Show that it is an unbiased estimator.
Q2: Assume that X is a discrete random variable with pmf f(x). Let X₁,...,X₁ be a random
sample on X. Suppose that the space of X is finite, say, D={a₁,...,m}. An intuitive
estimate of p(a) is the relative frequency of a, in the sample. We express this more
formally as follows. For j=1, 2,..., m, define the statistics
1,(X) = {1 0
X₁ = a;
X₁ = a;
Then the intuitive estimate of p(a)) can be expressed by the sample average
p(a) = -1,(X₂)
Find the unbiased estimator and the variance of the estimator and its mgf.
Transcribed Image Text:Q1: Suppose the number of customers X that enter a store between the hours 9:00 a.m. and 10:00 a.m. follows a Poisson distribution with parameter 0. Suppose a random sample of the number of customers that enter the store between 9:00 a.m. and 10:00 a.m. for 10 days results in the values 9, 7, 9, 15, 10, 13, 11, 7, 2, 12 Determine the maximum likelihood estimate of 0. Show that it is an unbiased estimator. Q2: Assume that X is a discrete random variable with pmf f(x). Let X₁,...,X₁ be a random sample on X. Suppose that the space of X is finite, say, D={a₁,...,m}. An intuitive estimate of p(a) is the relative frequency of a, in the sample. We express this more formally as follows. For j=1, 2,..., m, define the statistics 1,(X) = {1 0 X₁ = a; X₁ = a; Then the intuitive estimate of p(a)) can be expressed by the sample average p(a) = -1,(X₂) Find the unbiased estimator and the variance of the estimator and its mgf.
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