Theorem 4.2. Bayes' Theorem. If E1, E2, E2 ..., E, are mutually disjoint events with P (E;) # 0, (i = 1, 2, . n), then for any arbitrary event A which is a subset of E; such .... i= 1 that P (A) > 0, we have P (E; I A) P (E;) P (A IE;) P (E;) P (A I E;) P (A) ;i = 1, 2, ..., n %3D %3D Σ Ρ(Ε) P (ΑΙΕ) i = 1

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Theorem 4.2. Bayes' Theorem. If E1, E2, E2 ..., E, are mutually disjoint events with
•..
P (E:) # 0, (i = 1, 2, ..., n), then for any arbitrary event A which is a subset of ü E; such
i = 1
that P (A) > 0, we have
P (Ε) P ( ΙΕ)
P (E; I A) =
P (E;) P (A | E;)
Р (A)
;i = 1, 2, ..., n
..r
Σ Ρ(Ε) P (AΑΙ Ε)
i = 1
11
Transcribed Image Text:Theorem 4.2. Bayes' Theorem. If E1, E2, E2 ..., E, are mutually disjoint events with •.. P (E:) # 0, (i = 1, 2, ..., n), then for any arbitrary event A which is a subset of ü E; such i = 1 that P (A) > 0, we have P (Ε) P ( ΙΕ) P (E; I A) = P (E;) P (A | E;) Р (A) ;i = 1, 2, ..., n ..r Σ Ρ(Ε) P (AΑΙ Ε) i = 1 11
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