What does “Conditional probability” actually mean in Probability, and why does it matter for JEE?
P(A|B) is the probability of A given that B has occurred, equal to P(A∩B)/P(B).
In simple words: P(A|B) is the probability of A given that B has occurred, equal to P(A∩B)/P(B). Getting Conditional probability clear matters because JEE questions on Probability usually test this idea directly, not just a formula you memorised.
Key point
Conditional probability
Common mistake
assuming P(A|B) equals P(B|A).
Memory tip
conditioning direction matters — Bayes' theorem flips it correctly.
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