Question:

A bag contains 4 red and 4 black balls,another bag contains 2 red and 6 black balls.One of the two bags is selected at random and a ball is drawn from the bag which is found to be red.Find the probability that the ball is drawn from the first bag.

Updated On: Jan 26, 2024
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Solution and Explanation

The correct answer is: \(\frac{2}{3}\)
Let \(E_1\) and \(E_2\) be the events of selecting first bag and second bag respectively.
\(P(E_1)=P(E_2)=\frac{1}{2},\)
Let A be the event of getting a red ball.
\(P(A|E_1)\)=\(P\)(drawing a red ball from bag 1)\(=\frac{4}{8}=\frac{1}{2}\)
\(P(A|E_2)=\)\(P\)(drawing a red ball from bag II)\(=\frac{2}{8}+\frac{1}{4}\)
The probability of drawing a ball from the first bag, given that it is red, is given by \(P (E_2|A).\)
Therefore,by Bayes'theorem,
\(P(E_1|A)=\frac{P(E_1).P(A|E_1)}{P(E_1)P(A|E_1)+P(E_2)P(A|E_2)}\)
\(=\frac{\frac{1}{2}×\frac{1}{2}}{\frac{1}{2}×\frac{1}{2}+\frac{1}{2}×\frac{1}{4}}\)
\(=\frac{\frac{1}{4}}{\frac{1}{4}+\frac{1}{8}}\)
\(=\frac{1}{4}×\frac{8}{3}\)
\(=\frac{2}{3}\)
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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.