**Conditional probability** is the probability of an event occurring given that another event has already occurred. It quantifies how the likelihood of one event changes when we know that another event is true. Mathematically, the conditional probability of event A given event B is expressed as P(A|B) = P(A ∩ B) / P(B), where P(A ∩ B) is the probability of both events occurring, and P(B) is the probability of event B. Conditional probability is fundamental in fields like statistics, risk assessment, and machine learning, helping to model dependent events and make informed decisions based on existing information. This is an advanced Conditional Probability MCQ with Answer Key. You can download this MCQ from the link provided in the result page.

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