Question #28871

A and B are two students .Their chances of solving a problem correctly are 1/3 and 1/4.If the probability of their making a common error is 1/20 and they obtain the same answer then the probability of their answer to be correct is?

A.1/12 B.1/40 C.13/120 D.10/13

Expert's answer

Task. A and B are two students. Their chances of solving a problem correctly are 1/3 and 1/4. If the probability of their making a common error is 1/20 and they obtain the same answer then the probability of their answer to be correct is?

A. 1/12

B. 1/40

C. 13/120

D. 10/13

Solution. Consider the following events:

CA=C_{A}=``A solved problem correctly”

CB=C_{B}=``B solved problem correctly”

S = “A and B obtain the same answer”

C = “Their answer is correct”

E = “A and B made common error”.

We will assume that the events CAC_{A}, CBC_{B}, and EE independent, that is

P(CACBE)=P(CA)P(CB)P(E),P(C_{A}C_{B}E)=P(C_{A})*P(C_{B})*P(E),

P(CACB)=P(CA)P(CB),P(CAE)=P(CA)P(E),P(CBE)=P(CB)P(E).P(C_{A}C_{B})=P(C_{A})*P(C_{B}),\qquad P(C_{A}E)=P(C_{A})*P(E),\qquad P(C_{B}E)=P(C_{B})*P(E).

We should find the conditional probability P(CS)P(C|S). By definition where SC is the intersection of events S and C:

SC = “A and B obtain correct answer”

By assumption we have that

P(CA)=13,P(CB)=14,P(E)=120.P(C_{A})=\frac{1}{3},\qquad P(C_{B})=\frac{1}{4},\qquad P(E)=\frac{1}{20}.

We will express the probabilities P(SC)P(SC) and P(S)P(S) via P(CA)P(C_{A}), P(CB)P(C_{B}), and P(CACB)P(\overline{C_{A}}\,\overline{C_{B}}).

Notice that events SC and CACBC_{A}C_{B} coincide:

SC = CACB=C_{A}C_{B}=``A and B obtain correct answer”,

so

P(SC)=P(CACB)=P(CA)P(CB)=1314=112.P(SC)=P(C_{A}C_{B})=P(C_{A})*P(C_{B})=\frac{1}{3}*\frac{1}{4}=\frac{1}{12}.

Now compute P(S)P(S). Notice that SS happens if either of the following two events hold:

CACB=AC_{A}C_{B}=``A and BB made no errors’

CACBE=A\overline{C_{A}C_{B}}E=``A and BB made error and this error is the same”.

These events are mutually exclusive, that is

P(S)=P(CACB)+P(F).P(S)=P(C_{A}C_{B})+P(F).

Moreover,

P(F)=P(CACBE).P(F)=P(\overline{C_{A}C_{B}}E).

Since events CAC_{A}, CBC_{B} and EE are independent, we obtain that

P(F)P(F) =P(CACBE)==P(CA)P(CB)P(E)=P(\overline{C_{A}C_{B}}E)==P(\overline{C_{A}})*P(\overline{C_{B}})*P(E)

=(113)(114)120=\left(1-\frac{1}{3}\right)*\left(1-\frac{1}{4}\right)*\frac{1}{20} =2334120=140,=\frac{2}{3}*\frac{3}{4}*\frac{1}{20}=\frac{1}{40},

so

P(S)=P(CACB)+P(F)=1314+140=112+140=13120.P(S)=P(C_{A}C_{B})+P(F)=\frac{1}{3}*\frac{1}{4}+\frac{1}{40}=\frac{1}{12}+\frac{1}{40}=\frac{13}{120}.

Therefore

P(CS)=P(SC)P(S)=P(CACB)P(CACB)+P(F)=11213120=1013.P(C|S)=\frac{P(SC)}{P(S)}=\frac{P(C_{A}C_{B})}{P(C_{A}C_{B})+P(F)}=\frac{\frac{1}{12}}{\frac{13}{120}}=\frac{10}{13}.

Answer. D) 1013\frac{10}{13}.

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