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Exercise 13.2 · Q18

Q.Two events A and B will be independent, if (A) A and B are mutually exclusive (B) P(A′B′)=[1−P(A)][1−P(B)]P(A'B') = [1 - P(A)] [1 - P(B)] (C) P(A)=P(B)P(A) = P(B) (D) P(A)+P(B)=1P(A) + P(B) = 1

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The key idea is that independence is defined by P(A∩B)=P(A)P(B)P(A \cap B) = P(A)P(B). Option (B) simplifies to exactly this condition using De Morgan’s law, so it is the correct choice.

We need to recall what it means for two events to be independent. The formal definition is:

P(A∩B)=P(A)⋅P(B)P(A \cap B) = P(A) \cdot P(B)

That’s the only condition that guarantees independence. Now let’s examine each option carefully — not just by checking formulas, but by understanding why each one does or does not guarantee independence.


  1. Option (A): A and B are mutually exclusive

    Mutually exclusive means A∩B=∅A \cap B = \emptyset, so P(A∩B)=0P(A \cap B) = 0.

    For independence, we would need P(A)P(B)=0P(A)P(B) = 0, which forces at least one of P(A)P(A) or P(B)P(B) to be zero.

    If both events have non-zero probability, mutual exclusivity actually violates independence. So this is not a general condition — it only works in a trivial case.

    Verdict: Incorrect.

  2. Option (B): P(A′B′)=[1−P(A)][1−P(B)]P(A'B') = [1 - P(A)][1 - P(B)]

    Let’s unpack this. A′B′A'B' means A′∩B′A' \cap B', the complement of A∪BA \cup B (by De Morgan’s law).

    So P(A′∩B′)=P((A∪B)′)=1−P(A∪B)P(A' \cap B') = P((A \cup B)') = 1 - P(A \cup B).

    The right-hand side is (1−P(A))(1−P(B))=1−P(A)−P(B)+P(A)P(B)(1 - P(A))(1 - P(B)) = 1 - P(A) - P(B) + P(A)P(B).

    Equating both sides:

1−P(A∪B)=1−P(A)−P(B)+P(A)P(B)1 - P(A \cup B) = 1 - P(A) - P(B) + P(A)P(B)

Cancel the 1:

−P(A∪B)=−P(A)−P(B)+P(A)P(B)-P(A \cup B) = -P(A) - P(B) + P(A)P(B)

Multiply by -1:

P(A∪B)=P(A)+P(B)−P(A)P(B)P(A \cup B) = P(A) + P(B) - P(A)P(B)

But we know the general addition rule: P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B).

Comparing, we get:

P(A)+P(B)−P(A∩B)=P(A)+P(B)−P(A)P(B)P(A) + P(B) - P(A \cap B) = P(A) + P(B) - P(A)P(B)

Cancel P(A)+P(B)P(A) + P(B) from both sides:

−P(A∩B)=−P(A)P(B)-P(A \cap B) = -P(A)P(B)

So P(A∩B)=P(A)P(B)P(A \cap B) = P(A)P(B).

That’s exactly the definition of independence.

Verdict: Correct. …

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