MCQMediumJEE 2024Conditional Probability & Bayes Theorem

JEE Mathematics 2024 Question with Solution

Three urns A, B, and C contain 77 red, 55 black; 55 red, 77 black; and 66 red, 66 black balls, respectively. One of the urns is selected at random, and a ball is drawn. If the ball drawn is black, then the probability that it is drawn from urn A is:

  • A

    417\frac{4}{17}

  • B

    518\frac{5}{18}

  • C

    516\frac{5}{16}

  • D

    617\frac{6}{17}

Answer

Correct answer:C

Step-by-step solution

Bayes Theorem

Given: Urn A has 77 red and 55 black balls, urn B has 55 red and 77 black balls, and urn C has 66 red and 66 black balls. One urn is selected at random and the drawn ball is black.

Find: The probability that the black ball was drawn from urn A.

The solution is inconsistent with the question because it discusses only two bags and white balls. So, using the question data and Bayes' theorem,

P(A)=P(B)=P(C)=13P(A)=P(B)=P(C)=\frac{1}{3}

Also,

P(blackA)=512,P(blackB)=712,P(blackC)=612=12P(\text{black}\mid A)=\frac{5}{12}, \quad P(\text{black}\mid B)=\frac{7}{12}, \quad P(\text{black}\mid C)=\frac{6}{12}=\frac{1}{2}

Hence,

P(black)=P(A)P(blackA)+P(B)P(blackB)+P(C)P(blackC)P(\text{black})=P(A)P(\text{black}\mid A)+P(B)P(\text{black}\mid B)+P(C)P(\text{black}\mid C) =13512+13712+1312=\frac{1}{3}\cdot\frac{5}{12}+\frac{1}{3}\cdot\frac{7}{12}+\frac{1}{3}\cdot\frac{1}{2} =5+7+636=1836=12=\frac{5+7+6}{36}=\frac{18}{36}=\frac{1}{2}

Now by Bayes' theorem,

P(Ablack)=P(A)P(blackA)P(black)P(A\mid \text{black})=\frac{P(A)P(\text{black}\mid A)}{P(\text{black})} =1351212=5362=518=\frac{\frac{1}{3}\cdot\frac{5}{12}}{\frac{1}{2}}=\frac{5}{36}\cdot 2=\frac{5}{18}

Therefore, the required probability is 518\frac{5}{18}, so the correct option is C. The listed option labels and the answer key string disagree because the value 518\frac{5}{18} appears under option B, while the solution states C.

Direct likelihood comparison

Given: Each urn is chosen with equal probability.

Find: P(Ablack)P(A\mid \text{black}).

For equally likely urn selection, compare the weighted black-ball chances from each urn:

A:13512=536,B:13712=736,C:1312=636A: \frac{1}{3}\cdot\frac{5}{12}=\frac{5}{36}, \qquad B: \frac{1}{3}\cdot\frac{7}{12}=\frac{7}{36}, \qquad C: \frac{1}{3}\cdot\frac{1}{2}=\frac{6}{36}

So the total probability of getting a black ball is

536+736+636=1836=12\frac{5}{36}+\frac{7}{36}+\frac{6}{36}=\frac{18}{36}=\frac{1}{2}

Hence,

P(Ablack)=53612=518P(A\mid \text{black})=\frac{\frac{5}{36}}{\frac{1}{2}}=\frac{5}{18}

Therefore, the probability that the black ball came from urn A is 518\frac{5}{18}.

Common mistakes

  • Using only urns A and B and ignoring urn C. This is wrong because the question clearly states that one of three urns is selected at random. Include all three urns in the total probability.

  • Using the probability of drawing a red ball instead of a black ball. This is wrong because the condition given is that the drawn ball is black. Use P(blackA)P(\text{black}\mid A), not P(redA)P(\text{red}\mid A).

  • Forgetting to divide by the total probability of drawing a black ball. This is wrong because Bayes' theorem requires normalization by P(black)P(\text{black}). First compute P(black)P(\text{black}) from all urns, then form the ratio.

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