Imagine that you have a sack of 3 balls that can be either red or green. There are four hypotheses for the distribution of colors for the balls: (1) all red, (2) 2 are red, (3) 1 is red, and (4) all are green. Initially, you have no information about which hypothesis is correct and thus you assume that they are equally probable. Suppose that you pick one ball out of the sack and it is green. Use Baye's theorem to determine the new probabilities foe each hypothesis. The random variable x has the probability density if 0

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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Imagine that you have a sack of 3 balls that can be either red or green. There are
four hypotheses for the distribution of colors for the balls: (1) all red, (2) 2 are red,
(3) 1 is red, and (4) all are green. Initially, you have no information about which
hypothesis is correct and thus you assume that they are equally probable.
Suppose that you pick one ball out of the sack and it is green. Use Baye's theorem
to determine the new probabilities foe each hypothesis.
The random variable x has the probability density
(Ae¬ax
if 0 <x < ∞
p(x)
x< 0
(a) Determine the normalization constant A in terms of 2.
(b) What is the mean value of x? What is the most probable value of x?
(c) What is the mean value of x2?
(d) Choose 1 = 1 and determine the probability that a measurement of x yields
a value between 1 and 2.
(e) Choose 1 = 1 and determine the probability that a measurement of x yields
%3D
a value less than 0.3.
Transcribed Image Text:Imagine that you have a sack of 3 balls that can be either red or green. There are four hypotheses for the distribution of colors for the balls: (1) all red, (2) 2 are red, (3) 1 is red, and (4) all are green. Initially, you have no information about which hypothesis is correct and thus you assume that they are equally probable. Suppose that you pick one ball out of the sack and it is green. Use Baye's theorem to determine the new probabilities foe each hypothesis. The random variable x has the probability density (Ae¬ax if 0 <x < ∞ p(x) x< 0 (a) Determine the normalization constant A in terms of 2. (b) What is the mean value of x? What is the most probable value of x? (c) What is the mean value of x2? (d) Choose 1 = 1 and determine the probability that a measurement of x yields a value between 1 and 2. (e) Choose 1 = 1 and determine the probability that a measurement of x yields %3D a value less than 0.3.
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