What is conditional probability?

Updated May 17, 2026

Short answer

Conditional probability is the probability of an event given that another event has occurred.

Deep explanation

Defined as P(A|B) = P(A ∩ B) / P(B), conditional probability updates beliefs based on known information. It is fundamental in Bayesian reasoning and decision-making under uncertainty.

Real-world example

Probability of having a disease given a positive medical test.

Common mistakes

  • Confusing P(A|B) with P(B|A).

Follow-up questions

  • What is Bayes’ theorem?
  • Why is normalization needed?

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