Question
Question: In answering a question on a multiple-choice test, a student either knows the answer or guesses. Let...
In answering a question on a multiple-choice test, a student either knows the answer or guesses. Let 43 be the probability that he knows the answer and 41 be the possibility that he guesses. Assuming that a student who guesses the answer will be correct with the probability 41. What is the possibility that the student knows the answer given that he answered correctly?
Solution
We can solve the given question using Bayes theorem, P(CA)=P(A).P(AC)+P(B).P(BC)P(A).P(AC) where,P(A) is the probability that student knows the answer P(B) is the probability that the student guesses the answerP(AC) is the probability that the student answered correctly if he knows the answer, P(BC) is the probability that the student answered correctly if he guesses and P(CA) is the probability that the student knows the answer given he answered correctly. Put the given values and simplify to get the answer.
Complete step-by-step answer:
Let’s consider, A be the event that the student knows the answer and B be the event that the student guesses. Let C be the event that the answer is correct. Then according to the question,
Given, the probability that the student knows the answerP(A)=43.
The probability that the student guesses the answer P(B)=41 .
The probability that the student answered correctly given he knows the answer is 1 as there is only one correct answer.
⇒P(AC)=1
(Given) The probability that the student answered correctly, if he guessed isP(BC)=41 . Then the probability that the student knows the answer, given that he answered correctly is given byP(CA)
We know that by baye’s theorem, P(CA)=P(A).P(AC)+P(B).P(BC)P(A).P(AC)
On putting the given values, we get-
⇒P(CA)=43.1+41.4143.1=43+16143=1612+143
⇒P(CA)=161343=43×1316=133×4=1312
Hence, the probability that the student knows the answer, given that he answered correctly is 1312.
Note: Bayes theorem is a formula that is used for determining conditional probability. It is a way of finding a probability when we know certain other probabilities. In the question, the events A and B are mutually exclusive and exhaustive meaning (A∩B) =∅ if Sample set S= (A∪B). The students may get confused that how we got-
⇒P(AC)=1 . Since there is only one correct answer and the student knows the answer so the probability that he answered correctly will also be 1.