If P(A) = 0.4, P(B) = 0.3, P(A∩B) = 0.1, find P(A|B) using Bayes theorem

medium CBSE JEE-MAIN NCERT Class 12 3 min read

Question

If P(A)=0.4P(A) = 0.4, P(B)=0.3P(B) = 0.3, and P(AB)=0.1P(A \cap B) = 0.1, find P(AB)P(A|B).

(NCERT Class 12, Exercise 13.1)


Solution — Step by Step

P(AB)=P(AB)P(B),provided P(B)0P(A|B) = \frac{P(A \cap B)}{P(B)}, \quad \text{provided } P(B) \neq 0

This reads: “the probability of AA given that BB has occurred.”

P(AB)=P(AB)P(B)=0.10.3=13P(A|B) = \frac{P(A \cap B)}{P(B)} = \frac{0.1}{0.3} = \mathbf{\frac{1}{3}}

If we know event BB has happened, the probability that AA also happened is 1/30.3331/3 \approx 0.333.

Notice that P(AB)=1/3<P(A)=0.4P(A|B) = 1/3 < P(A) = 0.4. This means knowing BB occurred actually decreases the chance of AA — the events are negatively correlated.


Why This Works

Conditional probability restricts the sample space. When we know BB has occurred, the entire universe shrinks to just BB. The only part of AA that matters is the part that overlaps with BB — which is ABA \cap B. The ratio P(AB)/P(B)P(A \cap B)/P(B) gives us the proportion of BB that also belongs to AA.

Think of it with a Venn diagram: BB is your new “whole world,” and ABA \cap B is the portion of that world where AA is true.


Alternative Method — Check independence and find P(B|A) too

We can also verify: are AA and BB independent?

For independence, we need P(AB)=P(A)P(B)=0.4×0.3=0.12P(A \cap B) = P(A) \cdot P(B) = 0.4 \times 0.3 = 0.12.

But P(AB)=0.10.12P(A \cap B) = 0.1 \neq 0.12. So AA and BB are not independent.

Also, P(BA)=P(AB)P(A)=0.10.4=14=0.25P(B|A) = \frac{P(A \cap B)}{P(A)} = \frac{0.1}{0.4} = \frac{1}{4} = 0.25.

Note: P(AB)P(BA)P(A|B) \neq P(B|A) in general — this is a common source of confusion.

The title mentions Bayes’ theorem, but for this direct calculation, the simple conditional probability formula suffices. Bayes’ theorem is useful when P(AB)P(A \cap B) is not directly given and you need to compute it from P(BA)P(B|A) and P(A)P(A): P(AB)=P(BA)P(A)P(B)P(A|B) = \frac{P(B|A) \cdot P(A)}{P(B)}.


Common Mistake

The biggest conceptual error: confusing P(AB)P(A|B) with P(BA)P(B|A). Students write P(AB)=P(AB)/P(A)P(A|B) = P(A \cap B)/P(A) instead of dividing by P(B)P(B). Remember — the event after the bar (BB) goes in the denominator. “Given BB” means BB is the condition, so P(B)P(B) is what you divide by. Writing it wrong gives 0.1/0.4=0.250.1/0.4 = 0.25 — a different answer that looks equally reasonable.

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