Question:

A factory has two machines \(A\) and \(B\).Past record shows that machine \(A\) produce \(60\%\) of the item of output and machine \(B\) produced \(40\%\) of the items.Further,\(2\%\) of the items produced by machine \(A\) and \(1\%\) produced by machine \(B\) were defective.All the items are put into one stockpile and then one item is chosen at random from this and is found to defective.What is the probability that it was produced by machine \(B\)?

Updated On: Sep 21, 2023
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Solution and Explanation

The correct answer is: \(\frac{1}{4}\)
Given \(P(A)=\frac{60}{100},P(B)=\frac{40}{100}\)
Let D denotes a defective item:
\(∴P(D|A)=\frac{2}{100}\, and\, P(D|A)=\frac{1}{100}\)
\(P(B|D)=\frac{P(B)P(D|B)}{P(A)P(D|A)+P(B)P(D|B)}\)
\(=\frac{\frac{40}{100}×\frac{1}{100}}{\frac{60}{100}×\frac{2}{100}+\frac{40}{100}×\frac{1}{100}}\)
\(=\frac{40}{120+40}\)
\(=\frac{40}{160}\)
\(=\frac{1}{4}\)
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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.