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In the special rule of addition of probability, the events are always

  • A.Independent Events
  • B.Mutually Exclusive Events
  • C.Bayesian
  • D.Empirical

Answer: B

The special rule of addition is

\[ P(A \cup B) = P(A) + P(B) \]

and it holds only when the events are mutually exclusive - they cannot both occur, so \( P(A \cap B) = 0 \) and there is no overlap to subtract.

Independence is the condition for the special rule of multiplication. The general addition rule, \( P(A \cup B) = P(A) + P(B) - P(A \cap B) \), needs no condition at all.

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