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The joint probability is

  • A.The likelihood of two events happening together
  • B.The likelihood of an event happening given that another event has already happened
  • C.Based on two mutually exclusive events
  • D.Also called Prior probability

Answer: A

Joint probability is the probability that two events occur together, written \( P(A \cap B) \).

The second option describes conditional probability, \( P(A \mid B) \); mutual exclusivity would make the joint probability zero; and prior probability is the belief held before new evidence, a term from Bayes' theorem.

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