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Question: It is given that the events \(A\) and \(B\) are such that \(P\left( A \right) = \dfrac{1}{4}\), \(P\...

It is given that the events AA and BB are such that P(A)=14P\left( A \right) = \dfrac{1}{4}, P(AB)=12P\left( {\dfrac{A}{B}} \right) = \dfrac{1}{2} and P(BA)=23P\left( {\dfrac{B}{A}} \right) = \dfrac{2}{3}. Then, P(B)P\left( B \right) is equal to
A) 12\dfrac{1}{2}
B) 16\dfrac{1}{6}
C) 13\dfrac{1}{3}
D) 23\dfrac{2}{3}

Explanation

Solution

We are given the probabilities of a few conditions. We are to use the formula of conditional probability, which is,
P(AB)=P(AB)P(B)P\left( {\dfrac{A}{B}} \right) = \dfrac{{P\left( {A \cap B} \right)}}{{P\left( B \right)}}
Using this formula, we could find the value of P(AB)P\left( {A \cap B} \right). By substituting the value in the other given condition we can get the required value.

Complete step by step answer:
Given, two events AA and BB.
And, P(A)=14P\left( A \right) = \dfrac{1}{4}, P(AB)=12P\left( {\dfrac{A}{B}} \right) = \dfrac{1}{2} and P(BA)=23P\left( {\dfrac{B}{A}} \right) = \dfrac{2}{3}.
Now, we know, P(AB)=P(AB)P(B)(1)P\left( {\dfrac{A}{B}} \right) = \dfrac{{P\left( {A \cap B} \right)}}{{P\left( B \right)}} - - - \left( 1 \right)
And, P(BA)=P(BA)P(A)(2)P\left( {\dfrac{B}{A}} \right) = \dfrac{{P\left( {B \cap A} \right)}}{{P\left( A \right)}} - - - \left( 2 \right)
Substituting the given values in (2)\left( 2 \right), we get,
23=P(BA)14\Rightarrow \dfrac{2}{3} = \dfrac{{P\left( {B \cap A} \right)}}{{\dfrac{1}{4}}}
Now, multiplying both sides by 14\dfrac{1}{4}, we get,
23×14=P(BA)\Rightarrow \dfrac{2}{3} \times \dfrac{1}{4} = P\left( {B \cap A} \right)
P(BA)=16\Rightarrow P\left( {B \cap A} \right) = \dfrac{1}{6}
Now, we know, the intersection of two events is the same irrespective of the way we write.
That is, P(AB)=P(BA)P\left( {A \cap B} \right) = P\left( {B \cap A} \right)
Therefore, we can clearly say that, P(AB)=16P\left( {A \cap B} \right) = \dfrac{1}{6}.
Now, substituting the values of P(AB)P\left( {\dfrac{A}{B}} \right) and P(AB)P\left( {A \cap B} \right) in (1)\left( 1 \right), we get,
12=16P(B)\Rightarrow \dfrac{1}{2} = \dfrac{{\dfrac{1}{6}}}{{P\left( B \right)}}
Now, multiplying both sides with 66, we get,
12×6=1P(B)\Rightarrow \dfrac{1}{2} \times 6 = \dfrac{1}{{P\left( B \right)}}
3=1P(B)\Rightarrow 3 = \dfrac{1}{{P\left( B \right)}}
Taking the inverse on both sides, we get,
P(B)=13\Rightarrow P\left( B \right) = \dfrac{1}{3}
Therefore, P(B)P\left( B \right) is 13\dfrac{1}{3}, the correct option is option (C).

Note:
To solve this problem, the concept of conditional probability is used. In probability theory, AA conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption, assertion or evidence) has already occurred. If the event of interest is AA and the event BB is known or assumed to have occurred, the probability is called "the conditional probability of AA given BB", or "the probability of under the condition BB”. In this problem, we used the simplest notation, that is, P(AB)P\left( {\dfrac{A}{B}} \right).