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Question: Let A and E be any two events with positive probabilities Statement-1: \[P\left( {\dfrac{E}{A}} \...

Let A and E be any two events with positive probabilities
Statement-1: P(EA)P(AE)P(E)P\left( {\dfrac{E}{A}} \right) \geqslant P\left( {\dfrac{A}{E}} \right)P\left( E \right)
Statement-2: P(AE)P(AE)P\left( {\dfrac{A}{E}} \right) \geqslant P\left( {A \cap E} \right).
(A) Both the statements are true
(B) Both the statements are false
(C) Statement-1 is true, Statement-2 is false
(D) Statement-1 is false, Statement-2 is true

Explanation

Solution

Here we will use the known fact that:-
P(AB)=P(AB)P(B)P\left( {\dfrac{A}{B}} \right) = \dfrac{{P\left( {A \cap B} \right)}}{{P\left( B \right)}} and P(BA)=P(AB)P(A)P\left( {\dfrac{B}{A}} \right) = \dfrac{{P\left( {A \cap B} \right)}}{{P\left( A \right)}}
And also that the probability of any event is greater than 0 and less than equal to 1.
And then finally find the required relations.

Complete step-by-step answer:
We know that:-
P(AB)=P(AB)P(B)P\left( {\dfrac{A}{B}} \right) = \dfrac{{P\left( {A \cap B} \right)}}{{P\left( B \right)}}
Hence,
P(AE)=P(AE)P(E)P\left( {\dfrac{A}{E}} \right) = \dfrac{{P\left( {A \cap E} \right)}}{{P\left( E \right)}}…………………….(1)
Also, we know that,
P(BA)=P(AB)P(A)P\left( {\dfrac{B}{A}} \right) = \dfrac{{P\left( {A \cap B} \right)}}{{P\left( A \right)}}
Hence,
P(EA)=P(AE)P(A)P\left( {\dfrac{E}{A}} \right) = \dfrac{{P\left( {A \cap E} \right)}}{{P\left( A \right)}}………………………………………….(2)
Now dividing equation 2 by equation 1 we get:-
P(EA)P(AE)=P(AE)P(A)P(AE)P(E)\dfrac{{P\left( {\dfrac{E}{A}} \right)}}{{P\left( {\dfrac{A}{E}} \right)}} = \dfrac{{\dfrac{{P\left( {A \cap E} \right)}}{{P\left( A \right)}}}}{{\dfrac{{P\left( {A \cap E} \right)}}{{P\left( E \right)}}}}
Solving it further we get:-

P(EA)P(AE)=P(AE)P(A)×P(E)P(AE) P(EA)P(AE)=P(E)P(A)  \dfrac{{P\left( {\dfrac{E}{A}} \right)}}{{P\left( {\dfrac{A}{E}} \right)}} = \dfrac{{P\left( {A \cap E} \right)}}{{P\left( A \right)}} \times \dfrac{{P\left( E \right)}}{{P\left( {A \cap E} \right)}} \\\ \Rightarrow \dfrac{{P\left( {\dfrac{E}{A}} \right)}}{{P\left( {\dfrac{A}{E}} \right)}} = \dfrac{{P\left( E \right)}}{{P\left( A \right)}} \\\

Now on cross-multiplying we get:-
P(EA)=P(AE)×P(E)P(A)P\left( {\dfrac{E}{A}} \right) = P\left( {\dfrac{A}{E}} \right) \times \dfrac{{P\left( E \right)}}{{P\left( A \right)}}
Now we know that the probability of any event is greater than 0 and less than equal to 1.
Hence,
0<P(A)10 < P\left( A \right) \leqslant 1
Therefore, this implies that:-
P(EA)P(AE)×P(E)P\left( {\dfrac{E}{A}} \right) \geqslant P\left( {\dfrac{A}{E}} \right) \times P\left( E \right)
Therefore, statement 1 is true.
Also, in equation 1,
We know that the probability of any event is greater than 0 and less than equal to 1.
Hence,
0<P(E)10 < P\left( E \right) \leqslant 1
Therefore, this implies:
P(AE)P(AE)P\left( {\dfrac{A}{E}} \right) \geqslant P\left( {A \cap E} \right)
Therefore, statement 2 is true.
Since statement 1 as well as statement 2 are true.

So, the correct answer is “Option A”.

Note: Students might make mistakes in writing the inequalities.
Also, the probability of any event cannot be zero and is always less than 1 or equal to 1.
Hence students should not consider the probability as:
0P(A)10 \leqslant P\left( A \right) \leqslant 1