Question:

Of the students in a college,it is known that \(60\%\) reside in hostel and \(40\%\) are day scholers.(not residing in hostel).Previous year result report that \(30\%\) of all students who reside in hostel attain A grade and \(20\%\) of day scholars attain A grade in their annual examination.At the end of the year,one student is choosen at random from the college and he has an A grade,What is the probability that the student is a hostler?

Updated On: Sep 20, 2023
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Solution and Explanation

The correct answer is: \(\frac{9}{13}\)
Let \(E_1\)=Students residing in the hostel, \(E_2\)=day scholars(not residing in the hostel) and A=Student who attain grade A,
\(P(E_1)=\frac{60}{100}, P(E_2)=\frac{40}{100}\)
\(P(A|E_1)=0.3,P(A|E_2)=0.2\)
The probability that a randomly chosen student is a hostler, given that he has an A grade, is given by \(P(E_1|A)\)
Therefore,by Bayes'theorem,
\(P(E_1|A)=\frac{P(E_1)P(A|E_1)}{P(E_1)P(A|E_1)+P(E_2)P(A|E_2)}\)
\(=\frac{0.6\times 0.3}{0.6\times 0.3+0.4\times 0.2}\)
\(=\frac{0.18}{0.26}\)
\(=\frac{18}{26}\)
\(=\frac{9}{13}\)
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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.