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five (a) AUB-B 80f (1) AnB=A et B five 2.2.28. Let events A and B and sample space S be define the as the following intervals: S={x : 0 < x < 10} A={x : 0 < x <5) the Characterize the following events: as (a) AC (b) An B (c) AUB (d) AnB (e) ACUB (f) AC n B 2.2.29. A coin is tossed four timo

that chip together two additional red are pu back into the urn. If a white chip is drawn, the chip i returned to the urn. Then a second chip is drawn. Wha with chips is the probability that both selections are red? IS 2.4.8. Given that P(A) a and P(B) b, show that a +b -1 P(AIB)b

ur- majoring in humanities, history and culture, and science eir are 75%, 45%, and 30%, respectively. Suppose Justin ils meets Anna at a fraternity party. What is the probability rat that Anna is a history and culture major? e 2.4.50. An eyes-only diplomatic message is to be trans- ty mitted as a binary code of Os and 1s. Past experience with ty othe equipment being used suggests that if a 0 is sent, it will be (correctly) received as a 0 90% of the time (and mis- takenly decoded as a l 10% of the time). If a 1 is sent, it will be received as a 1 95% of the time (and as a 0 5% of the time). The text being sent is thought to be 70% 1s and 30% 0s. Suppose the next signal sent is received as a 1. th f d What is the probability that it was sent as a 0? 2.4.51. When Zach wants to contact his girlfriend and he e knows she is not at home, he is twice as likely to send her an e-mail as he is to leave a message on her answering

2.2.28
2.4.8
2.4.50

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Answer #1

2.2.28

(a) Ac = { x ; x=0 or 5leqxleq10 }

(b) AcapB = { x ; 3leqx<5 }

(c) AcupB = { x : 0<xleq7 }

(d) Bc = { x : 0leqx<3 or 7<xleq10 }   AcapBc = { x : 0<x<3 }

(e) AccupB = { x : x=0 or 3leqxleq10 }

(f) AccapBc = { x : x=0 or 7<xleq10 }

2.4.8

P(AcupB) = P(A) + P(B) - P(AcapB)

P(AcupB) leq 1 Rightarrow P(A) + P(B) - P(AcapB) leq 1 Rightarrow P(A) + P(B) - 1 leq P(AcapB) Rightarrow P(AcapB) geq a+b-1

P(A|B) = P(AcapB)/P(B)

P(AcapB) geq a+b-1 Rightarrow P(AcapB)/P(B) geq (a+b-1)/P(B) Rightarrow P(A|B) geq (a+b-1)/b

PROVED

2.4.50   

P(1 is sent) = 0.7 P(0 is sent) = 0.3

P(0 is received | 0 is sent) = 0.9 Rightarrow P(1 is received | 0 is sent) = 0.1

P(1 is received | 1 is sent) = 0.95 Rightarrow P(0 is received | 1 is sent) = 0.05

Required Probability = P(0 is sent | 1 is received)

According to Bayes theorem of conditional probability :-

P(1 is recieved|0 is sent) P(0 is sent) P(1 is recieved 0 is sent) P (0 is sent) P(1 is recieved 1 is sent)P(1 is sent) P(O is sent |1 is received)

  0.1 × 0.3 0.03 0.043 0.1×0.3+0.95×0.7 0.695

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