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Question: An experiment can result in only 3 mutually exclusive events A, B and C. If P(A) = 2P(B) =3P(C), the...

An experiment can result in only 3 mutually exclusive events A, B and C. If P(A) = 2P(B) =3P(C), then P(A) =
[a] 611\dfrac{6}{11}
[b] 511\dfrac{5}{11}
[c] 911\dfrac{9}{11}
[d] None of the above

Explanation

Solution

Use the fact that if A and B are mutually exclusive events then P(AB)=P(A)+P(B)P\left( A\bigcup B \right)=P\left( A \right)+P\left( B \right). Use the fact that the probability of Sample space is 1, i.e. P(S) = 1. Since A, B and C are exhaustive use the fact that S=ABCS=A\bigcup B\bigcup C and hence determine the value of P(A), P(B) and P(C). Alternative use law of total probability which states that if A, B and C are mutually exclusive and exhaustive events then P(E)=P(EA)P(A)+P(EB)P(B)+P(EC)P(C)P\left( E \right)=P\left( E|A \right)P\left( A \right)+P\left( E|B \right)P\left( B \right)+P\left( E|C \right)P\left( C \right). Hence determine the value of P(A), P(B) and P(C).

Complete step-by-step answer :
We know that if A1,A2,,An{{A}_{1}},{{A}_{2}},\cdots ,{{A}_{n}} are mutually exclusive events, then P(i=1nAi)=i=1nP(Ai)P\left( \bigcup\limits_{i=1}^{n}{{{A}_{i}}} \right)=\sum\limits_{i=1}^{n}{P\left( {{A}_{i}} \right)}
Since A, B, C are mutually exclusive events, we have
P(ABC)=P(A)+P(B)+P(C)P\left( A\bigcup B\bigcup C \right)=P\left( A \right)+P\left( B \right)+P\left( C \right)
Also, since A, B and C are exhaustive events, we have
ABC=SA\bigcup B\bigcup C=S
Hence, we have
P(S)=P(A)+P(B)+P(C)P\left( S \right)=P\left( A \right)+P\left( B \right)+P\left( C \right)
We know that the Sample space is a sure event.
Hence, we have
P(A)+P(B)+P(C)=1P\left( A \right)+P\left( B \right)+P\left( C \right)=1
Let P(A) = 6x
Hence, we have
2P(B) = 6x i.e. P(B) = 3x and 3P(C) = 6x i.e. P(C) = 2x
Hence, we have
6x+3x+2x=1 11x=1 x=111 \begin{aligned} & 6x+3x+2x=1 \\\ & \Rightarrow 11x=1 \\\ & \Rightarrow x=\dfrac{1}{11} \\\ \end{aligned}
Hence, we have
P(A)=6x=611P\left( A \right)=6x=\dfrac{6}{11}
Hence option [a] is correct.

Note : Alternative solution:
We know that if A1,A2,,An{{A}_{1}},{{A}_{2}},\cdots ,{{A}_{n}} are mutually exclusive and exhaustive events and E is any event, then P(E)=i=1nP(EAi)P(Ai)P\left( E \right)=\sum\limits_{i=1}^{n}{P\left( E|{{A}_{i}} \right)P\left( {{A}_{i}} \right)}
Hence, we have
P(S)=P(SA)P(A)+P(SB)P(B)+P(SC)P(C)P\left( S \right)=P\left( S|A \right)P\left( A \right)+P\left( S|B \right)P\left( B \right)+P\left( S|C \right)P\left( C \right)
We know that P(SE)=1ES,P(E)0P\left( S|E \right)=1\forall E\subset S,P\left( E \right)\ne 0
Hence, we have
1=1×P(A)+1×P(B)+1×P(C) P(A)+P(B)+P(C)=1 \begin{aligned} & 1=1\times P\left( A \right)+1\times P\left( B \right)+1\times P\left( C \right) \\\ & \Rightarrow P\left( A \right)+P\left( B \right)+P\left( C \right)=1 \\\ \end{aligned}
Proceeding similarly as above, we have
P(A)=611P\left( A \right)=\dfrac{6}{11}
Hence option [a] is correct.