MCQEasyJEE 2023Conditional Probability & Bayes Theorem

JEE Mathematics 2023 Question with Solution

In a bolt factory, machines A, B, and C manufacture respectively 20%20\%, 30%30\%, and 50%50\% of the total bolts. Of their output, 3%3\%, 4%4\%, and 2%2\% are defective bolts. A bolt is drawn at random from the product. If the bolt drawn is found to be defective, then the probability that it is manufactured by machine C is:

  • A

    514\frac{5}{14}

  • B

    37\frac{3}{7}

  • C

    928\frac{9}{28}

  • D

    27\frac{2}{7}

Answer

Correct answer:A

Step-by-step solution

Standard Method

Given: Machines A, B, and C manufacture 20%20\%, 30%30\%, and 50%50\% of the bolts respectively. Their defective rates are 3%3\%, 4%4\%, and 2%2\% respectively.

Find: The probability that a bolt was manufactured by CC given that it is defective.

Use Bayes' Theorem:

P(CD)=P(DC)P(C)P(D)P(C\mid D)=\frac{P(D\mid C)P(C)}{P(D)}

First compute the total probability of a defective bolt:

P(D)=P(DA)P(A)+P(DB)P(B)+P(DC)P(C)P(D)=P(D\mid A)P(A)+P(D\mid B)P(B)+P(D\mid C)P(C)

Substituting the given values from the question:

P(D)=(0.03)(0.20)+(0.04)(0.30)+(0.02)(0.50)P(D)=(0.03)(0.20)+(0.04)(0.30)+(0.02)(0.50) =0.006+0.012+0.010=0.028=0.006+0.012+0.010=0.028

Now apply Bayes' Theorem:

P(CD)=(0.02)(0.50)0.028=0.010.028=1028=514P(C\mid D)=\frac{(0.02)(0.50)}{0.028}=\frac{0.01}{0.028}=\frac{10}{28}=\frac{5}{14}

Therefore, the probability that the defective bolt was manufactured by CC is 514\frac{5}{14}. Hence, the correct option is A.

Why the provided page solution is inconsistent

The solution applies Bayes' Theorem, which is the correct method, but the numerical substitutions shown there do not match the question statement.

From the question, the correct data are:

  • P(A)=0.20P(A)=0.20
  • P(B)=0.30P(B)=0.30
  • P(C)=0.50P(C)=0.50
  • P(DA)=0.03P(D\mid A)=0.03
  • P(DB)=0.04P(D\mid B)=0.04
  • P(DC)=0.02P(D\mid C)=0.02

The solution instead uses:

  • P(A)=0.50P(A)=0.50, P(B)=0.30P(B)=0.30, P(C)=0.20P(C)=0.20
  • P(DA)=0.04P(D\mid A)=0.04, P(DB)=0.03P(D\mid B)=0.03, P(DC)=0.02P(D\mid C)=0.02 which swaps the values and leads to 433\frac{4}{33}, a result that does not correspond to the given question or the marked correct answer.

Using the question data exactly as given yields:

P(CD)=(0.02)(0.50)(0.03)(0.20)+(0.04)(0.30)+(0.02)(0.50)=0.010.028=514P(C\mid D)=\frac{(0.02)(0.50)}{(0.03)(0.20)+(0.04)(0.30)+(0.02)(0.50)}=\frac{0.01}{0.028}=\frac{5}{14}

So the marked answer A is consistent with the question, while the page's worked values are not.

Common mistakes

  • Using the manufacturing percentages in the wrong order. This is incorrect because the question states A = 20%20\%, B = 30%30\%, C = 50%50\%. Always assign the probabilities exactly as given before applying Bayes' Theorem.

  • Using the defective rates incorrectly for the machines. This is wrong because 3%3\%, 4%4\%, 2%2\% correspond respectively to A, B, C. Match each conditional probability with its correct machine.

  • Applying Bayes' Theorem without first finding the total defective probability P(D)P(D). This is incorrect because the denominator must include contributions from all machines. First compute P(D)=P(DM)P(M)P(D)=\sum P(D\mid M)P(M).

Practice more Conditional Probability & Bayes Theorem questions

Get unlimited AI-adaptive practice, mastery tracking, and an AI tutor that explains every step — free to start.

Related questions