Asked by bgfc
In 3–5 sentences, explain the difference between independent and dependent events when calculating conditional probability, and provide an example of dependent events.(4 points) simple
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GPT-5 mini
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Independent events are those where knowing that one event occurred does not change the probability of the other, so P(A|B) = P(A). Dependent events are those where the occurrence of one event affects the probability of the other, so P(A|B) ≠ P(A). In conditional probability you must account for this change by using P(A|B) = P(A ∩ B)/P(B) when events are dependent. Example: drawing two cards from a deck without replacement — the probability the second card is an ace depends on whether the first card was an ace, so the events are dependent.
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