Match List I with List II List I List IIA. Bayes' Theorem I. P(E̅) = 1 - P(E) B. Conditional Probability II. \(P(E_1 \cup E_2) = P(E_1) + P(E_2)\)C. Theorem of complementary eventsIII. \(P(E_2/E_1)=\dfrac{P(E_1 \cap E_2)}{P(E_1)}\)D. Theorem of additionIV. \(P(H_i/E)=\dfrac{P(H_i \cap E)}{P(E)}\) Choose the correct answer from the options given below:

Match List I with List II List I List IIA. Bayes' Theorem I. P(E̅

1.	Match List I with List II List I List IIA. Bayes' Theorem I. P(E̅) = 1 - P(E) B. Conditional Probability II. \(P(E_1 \cup E_2) = P(E_1) + P(E_2)\)C. Theorem of complementary eventsIII. \(P(E_2/E_1)=\dfrac{P(E_1 \cap E_2)}{P(E_1)}\)D. Theorem of additionIV. \(P(H_i/E)=\dfrac{P(H_i \cap E)}{P(E)}\) Choose the correct answer from the options given below:
A.	A - I, B - IV, C - III, D - II
B.	A - III, B - IV, C - II, D - I
C.	A - III, B - IV, C - I, D - II
D.	A - IV, B - III, C - I, D - II
Answer» E.

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