Question:

Multiplication theorem of probability is.

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The multiplication theorem is crucial when events are not independent, and we need to account for the likelihood of one event occurring after another.
  • \( P(A \cap B) = P(A) \cdot P(B) \)
  • \( P(A \cap B) = P(A) + P(B) - P(A \cup B) \)
  • \( P(A \cap B) = P(A) \cdot P(B / A) \)
  • None of these
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The Correct Option is C

Solution and Explanation

The multiplication theorem of probability, which is used to find the probability of the intersection of two events \( A \) and \( B \), states that: \[ P(A \cap B) = P(A) \cdot P(B / A). \] This formula is derived from the definition of conditional probability. The conditional probability \( P(B / A) \) is the probability of event \( B \) occurring given that event \( A \) has already occurred. Therefore, the joint probability of \( A \) and \( B \) happening is the product of the probability of \( A \) and the conditional probability of \( B \) given \( A \).
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