Pr (B | A') = Pr (A' & B) / Pr (A')
Pr (B | A') x Pr (A') / Pr (B) = Pr (A' & B) / Pr (B) = [Pr (B) - Pr (A & B)] / Pr (B)
this is easily to be understand Pr (A' & B) = Pr (B) - Pr (A & B) with a Venn diagram
Hence,
Pr (A & B) = Pr (B) - Pr (A') x Pr (B | A') = Pr (B) - [1 - Pr (A)] x Pr (B | A')
By the law of total probability,
Pr (A) = Pr (A | B) x Pr (B) + Pr (A | B') x Pr (B') = {Pr (B) - [1 - Pr (A)] x Pr (B | A')} x Pr (B) + Pr (A | B') x [1 - Pr (B)] = [Pr (B)]2 - Pr (B | A') x Pr (B) + Pr (A | B') x [1 - Pr (B)] + Pr (A) x Pr (B | A') x Pr (B)
Hence,
P(A) = {[Pr (B)]2 - Pr (B | A') x Pr (B) + Pr (A | B') x [1 - Pr (B)]} / [Pr (B | A') x Pr (B)] = (0.62 - 0.7 x 0.6 + 0.8 x 0.4) / (1 - 0.7 x 0.6) = 0.26 / 0.58 = 13 / 29 = 0.4483
2010-03-02 14:34:33 補充:
brianwwc1993 is wrong because P(A and B) is not equal to P(B)xP(A|B')