Question #38660

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 beig 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?

Expert's answer

Answer on Question #38660 – 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\operatorname{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 \left((A \cap \bar{B}) \cup (\bar{A} \cap B)\right) = \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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