Question:

In answering a question on a multiple choice test a student either knows the answeror guesses.Let \(\frac{3}{4}\) be the probability that he knows the answer and \(\frac{1}{4}\) be the probability that he guesses.Assuming that the student who guessws the answer,will be correct with probability \(\frac{1}{4}\).What is the probability that a student knows the answer given that he answered it correctly?

Updated On: Sep 20, 2023
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Solution and Explanation

The correct answer is: \(\frac{12}{13}\)
Let \(E_1\)=the examiee knows the answer, \(E_2\)=the examinee guesses the answer and A=the examinee answers correctly
Now \(P(E_1)=\frac{3}{4},P(E_2)=\frac{1}{4},\)
Since \(E_1\) and \(E_2\) are mutually exclusive events and exhaustive events, and if \(E_2\) has already occurred, then the examinee guesses,
Therefore the probability that he answers correctly given that he has made a guess is \(\frac{1}{4}\) i.e., \(P(A|E_2)=\frac{1}{4}\)
And \(P(A|E_2)\)=P(answers correctly given that he knew the answer)=1
Therefore,by Bayes' theorem,
\(P(E_1|A)=\frac{P(E_1)P(A|E_1)}{P(E_1)P(A|E_1)+P(E_2)P(A|E_2)}\)
\(=\frac{\frac{3}{4}.1}{\frac{3}{4}.1+\frac{1}{4}.\frac{1}{4}}\)
\(=\frac{\frac{3}{4}}{\frac{3}{4}+\frac{1}{16}}\)
\(=\frac{\frac{3}{4}}{\frac{13}{16}}\)
\(=\frac{12}{13}\)
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Concepts Used:

Bayes Theorem

Bayes’ Theorem is a part of the conditional probability that helps in finding the probability of an event, based on previous knowledge of conditions that might be related to that event.

Mathematically, Bayes’ Theorem is stated as:-

\(P(A|B)=\frac{P(B|A)P(A)}{P(B)}\)

where,

  • Events A and B are mutually exhaustive events.
  • P(A) and P(B) are the probabilities of events A and B, respectively.
  • P(A|B) is the conditional probability of the happening of event A, given that event B has happened.
  • P(B|A) is the conditional probability of the happening of event B, given that event A has already happened.

This formula confines well as long as there are only two events. However, Bayes’ Theorem is not confined to two events. Hence, for more events.