12. Let 0 denote the proportion of registered voters in a large city who are in favor of a certain proposition. Sup- pose that the value of 0 is unknown, and two statisticians A and B assign to 0 the following different prior p.d.f's ŠA(O) and Šp(0), respectively: ŠA(O) = 20 for 0 < 0 < 1, ŠB(0) = 403 for 0 < 0 < 1. In a random sample of 1000 registered voters from the city, it is found that 710 are in favor of the proposition. a. Find the posterior distribution that each statistician assigns to 0. b. Find the Bayes estimate for each statistician based on the squared error loss function.

Elements Of Modern Algebra
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Author:Gilbert, Linda, Jimmie
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12. Let 0 denote the proportion of registered voters in a
large city who are in favor of a certain proposition. Sup-
pose that the value of 0 is unknown, and two statisticians
A and B assign to 0 the following different prior p.d.f's
ŠA(O) and Šp(0), respectively:
ŠA(O) = 20 for 0 < 0 < 1,
ŠB(0) = 403 for 0 < 0 < 1.
In a random sample of 1000 registered voters from the city,
it is found that 710 are in favor of the proposition.
a. Find the posterior distribution that each statistician
assigns to 0.
b. Find the Bayes estimate for each statistician based
on the squared error loss function.
c. Show that after the opinions of the 1000 registered
voters in the random sample had been obtained, the
Bayes estimates for the two statisticians could not
possibly differ by more than 0.002, regardless of the
Transcribed Image Text:12. Let 0 denote the proportion of registered voters in a large city who are in favor of a certain proposition. Sup- pose that the value of 0 is unknown, and two statisticians A and B assign to 0 the following different prior p.d.f's ŠA(O) and Šp(0), respectively: ŠA(O) = 20 for 0 < 0 < 1, ŠB(0) = 403 for 0 < 0 < 1. In a random sample of 1000 registered voters from the city, it is found that 710 are in favor of the proposition. a. Find the posterior distribution that each statistician assigns to 0. b. Find the Bayes estimate for each statistician based on the squared error loss function. c. Show that after the opinions of the 1000 registered voters in the random sample had been obtained, the Bayes estimates for the two statisticians could not possibly differ by more than 0.002, regardless of the
number in the sample who were in favor of the prop-
osition.
Transcribed Image Text:number in the sample who were in favor of the prop- osition.
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