Match List - I with List - II.

List - I

Theorem

List - II

Formula

A.

Theorem of Addition

I.

P(Hi/E) = \(\frac{P(H i \cap E)}{P(E)}\)

B.

Theorem of Multiplication

II.

P(E2/E1) = \(\frac{P\left(E_1 \cap E_2\right)}{P\left(E_1\right)}\)

C.

Condinal probability

III.

P(E1 ∪ E2) = P(E₁) + P(E₂)

D.

Bayes' Theorem

IV.

P(E1 ∩ E2) = P(E1) × P(E2)

Choose the correct answer from the options given below:

Question

List - I Theorem		List - II Formula
A.	Theorem of Addition	I.	P(Hi/E) = \(\frac{P(H i \cap E)}{P(E)}\)
B.	Theorem of Multiplication	II.	P(E2/E1) = \(\frac{P\left(E_1 \cap E_2\right)}{P\left(E_1\right)}\)
C.	Condinal probability	III.	P(E1 ∪ E2) = P(E₁) + P(E₂)
D.	Bayes' Theorem	IV.	P(E1 ∩ E2) = P(E1) × P(E2)