One of two biased coins A and B is selected and flipped. Let A be the event that coin A is selected and B be the event that coin B is selected, with probabilities p(A) = 0.2 and p(B) = 0.8. When coin A is flipped, the probability of heads is 0.5. When coin B is flipped, the probability of heads is 0.7. Let H be the event that the selected coin comes up heads. Complete the values X, Y, and Z in Bayes' Theorem to determine the probability coin B was chosen if the flip came up heads. X ]· p(B) - p(В) + Ex:0.1 Ex: 0.1 p(B|H) = Ex: 0.1 |· p(A) Y

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Chapter1: Combinatorial Analysis
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One of two biased coins A and B is selected and flipped. Let A be the event that coin A is selected and B be
the event that coin B is selected, with probabilities p(A) = 0.2 and p(B) = 0.8.
When coin A is flipped, the probability of heads is 0.5.
When coin B is flipped, the probability of heads is 0.7.
Let H be the event that the selected coin comes up heads. Complete the values X, Y, and Z in Bayes'
Theorem to determine the probability coin B was chosen if the flip came up heads.
X
]· p(B)
- p(В) + Ex:0.1
Ex: 0.1
p(B|H) =
Ex: 0.1
|· p(A)
Y
Transcribed Image Text:One of two biased coins A and B is selected and flipped. Let A be the event that coin A is selected and B be the event that coin B is selected, with probabilities p(A) = 0.2 and p(B) = 0.8. When coin A is flipped, the probability of heads is 0.5. When coin B is flipped, the probability of heads is 0.7. Let H be the event that the selected coin comes up heads. Complete the values X, Y, and Z in Bayes' Theorem to determine the probability coin B was chosen if the flip came up heads. X ]· p(B) - p(В) + Ex:0.1 Ex: 0.1 p(B|H) = Ex: 0.1 |· p(A) Y
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