Baye's theorem: E1, E2, E3, . . . . . . . . . . . . . . ,En are mutually exclusive and exhaustive events and E is an event which takes place in conjunction with any one of E1 then the probability of the event E1 happening when the event E has taken place is given by
Let us define the events :
A1 ≡ the examinee guesses the answer,
A2 ≡ the examinee copies the answer
A3 ≡ the examinee knows the answer,
A ≡ the examinee answers correctly
ATQ, P (A1) = 1/3; P (A2) = 1/6
As any one happens out of A1, A2, A3, these are mutually exclusive and exhaustive events.
∴ P (A1) + P (A2) + P (A3) = 1
⇒ P (A3) = 1 – 1/3 – 1/6 = 6 - 2 – 1/6 = 3/6 = 1/2
Also we have, P(A| A1) = 1/4
[∵ out of 4 choices only one is correct.] P (A| A2) = 1/8
(given) P (A| A3) = 1
[If examinee knows the ans., it is correct. i.e. true event]
To find P (A3| A). By Baye's thm. P (A3| A)
= P (A3|A) P (A3)/P (A| A1) P(A1) + P (A| A2) P(A2) + P (A| A3) P(A3)
= (1(1/2))/(1/4 x 1/3 + 1/8 x 1/6 + (1 x 1)/2)
= 1/2/29/48 = 1/2 x 18/29 = 24/29.