Question #39871

A chartered Accountant applies for a job in two firms X and Y. He estimates that the probability of his being selected in firm X is 0.7 and being rejected in Y is 0.5 and the probability that atleast one of his applications rejected is 0.6. What is the probability that he will be selected in one of the firms?
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Expert's answer

2014-03-14T11:35:08-0400

Answer on Question #39871 – Math – Statistics and Probability

A chartered accountant applies for a job in two firms X and Y. He estimates that the probability of his being selected in firm X is 0.7 and being rejected in Y is 0.5 and the probability that at least one of his applications rejected is 0.6. What is the probability that he will be selected in one of the firms?



A="selected in firm X", B="selected in firm Y", C="selected at least in one of the firms",

D=(AˉB)(ABˉ)(AˉBˉ)="D = (\bar{A}\cap B)\cup (A\cap \bar{B})\cup (\bar{A}\cap \bar{B}) = " at least one of his applications is rejected".

By assignment statement, Pr(D)=0.6\Pr (D) = 0.6. Then


Pr(AB)=1Pr(D)=10.6=0.4\Pr (A \cap B) = 1 - \Pr (D) = 1 - 0.6 = 0.4


Probability that at least one of applications will be selected:


Pr(C)=Pr(AB)=Pr(A)+Pr(B)Pr(AB)=0.7+0.50.4=0.8\Pr (C) = \Pr (A \cup B) = \Pr (A) + \Pr (B) - \Pr (A \cap B) = 0.7 + 0.5 - 0.4 = 0.8


Probability that exactly one of application will be selected


Pr(E)=Pr((ABˉ)(AˉB))=Pr(ABˉ)+Pr(AˉB)=Pr(A/Bˉ)Pr(Bˉ)+Pr(Aˉ/B)Pr(B)\Pr (E) = \Pr ((A \cap \bar{B}) \cup (\bar{A} \cap B)) = \Pr (A \cap \bar{B}) + \Pr (\bar{A} \cap B) = \Pr (A / \bar{B}) \Pr (\bar{B}) + \Pr (\bar{A} / B) \Pr (B)


We cannot calculate this probability without additional assumptions. If we assume that events A and B are independent, then Pr(A/Bˉ)=Pr(A)\Pr(A / \bar{B}) = \Pr(A), Pr(Aˉ/B)=Pr(Aˉ)\Pr(\bar{A} / B) = \Pr(\bar{A}).

Finally, with additional assumption we have that probability that exactly one of application will be selected


Pr(E)=Pr(A/Bˉ)Pr(Bˉ)+Pr(Aˉ/B)Pr(B)=Pr(A)Pr(Bˉ)+Pr(Aˉ)Pr(B)=0.70.5+0.30.5=0.5\Pr (E) = \Pr (A / \bar{B}) \Pr (\bar{B}) + \Pr (\bar{A} / B) \Pr (B) = \Pr (A) \cdot \Pr (\bar{B}) + \Pr (\bar{A}) \cdot \Pr (B) = 0.7 \cdot 0.5 + 0.3 \cdot 0.5 = 0.5

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