Class CBSE Class 12 Mathematics Probability Q #1324
COMPETENCY BASED
UNDERSTAND
3 Marks 2024 AISSCE(Board Exam) SA
A card from a well shuffled deck of 52 playing cards is lost. From the remaining cards of the pack, a card is drawn at random and is found to be a King. Find the probability of the lost card being a King.

AI Tutor Explanation

Powered by Gemini

Detailed Solution

Step 1: Define Events

Let $K$ be the event that the lost card is a King. Let $E$ be the event that a card drawn from the remaining cards is a King.

Step 2: Determine Prior Probabilities

We want to find $P(K|E)$, the probability that the lost card is a King given that a card drawn is a King. $P(K) = \frac{4}{52} = \frac{1}{13}$ (Probability that the lost card is a King) $P(K') = 1 - P(K) = 1 - \frac{1}{13} = \frac{12}{13}$ (Probability that the lost card is not a King)

Step 3: Determine Conditional Probabilities

$P(E|K) = \frac{3}{51}$ (Probability of drawing a King given that the lost card was a King) $P(E|K') = \frac{4}{51}$ (Probability of drawing a King given that the lost card was not a King)

Step 4: Apply Bayes' Theorem

Using Bayes' Theorem, we have: $$P(K|E) = \frac{P(E|K)P(K)}{P(E|K)P(K) + P(E|K')P(K')}$$ $$P(K|E) = \frac{\frac{3}{51} \cdot \frac{1}{13}}{\frac{3}{51} \cdot \frac{1}{13} + \frac{4}{51} \cdot \frac{12}{13}}$$ $$P(K|E) = \frac{\frac{3}{51 \cdot 13}}{\frac{3}{51 \cdot 13} + \frac{48}{51 \cdot 13}}$$ $$P(K|E) = \frac{3}{3 + 48} = \frac{3}{51} = \frac{1}{17}$$

Final Answer: 1/17

AI generated content. Review strictly for academic accuracy.

Pedagogical Audit
Bloom's Analysis: This is an UNDERSTAND question because the student needs to understand the concepts of conditional probability and Bayes' theorem to apply them to the given problem.
Knowledge Dimension: CONCEPTUAL
Justification: The question requires understanding of the concepts of conditional probability and Bayes' theorem, rather than just recalling facts or following a specific procedure.
Syllabus Audit: In the context of CBSE Class 12, this is classified as COMPETENCY. The question requires application of probability concepts to a real-world scenario, testing the student's problem-solving skills.

More from this Chapter

SA
For the vacancy advertised in the newspaper, 3000 candidates submitted their applications. From the data it was revealed that two third of the total applicants were females and other were males. The selection for the job was done through a written test. The performance of the applicants indicates that the probability of a male getting a distinction in written test is 0.4 and that a female getting a distinction is 0.35. Find the probability that the candidate chosen at random will have a distinction in the written test.
MCQ_SINGLE
A coin is tossed and a card is selected at random from a well shuffled pack of 52 playing cards. The probability of getting head on the coin and a face card from the pack is :
MCQ_SINGLE
18. The probability that A speaks the truth is $\frac{4}{5}$ and that of B speaking the truth is $\frac{3}{4}$. The probability that they contradict each other in stating the same fact is :
LA
(a) In answering a question on a multiple choice test, a student either knows the answer or guesses. Let 3/5 be the probability that he knows the answer and 2/5 be the probability that he guesses. Assuming that a student who guesses at the answer will be correct with probability 1/3. What is the probability that the student knows the answer, given that he answered it correctly? OR (b) A box contains 10 tickets, 2 of which carry a prize of ₹8 each, 5 of which carry a prize of ₹4 each, and remaining 3 carry a prize of ₹2 each. If one ticket is drawn at random, find the mean value of the prize.
VSA
In a village of 8000 people, 3000 go out of the village to work and 4000 are women. It is noted that 30% of women go out of the village to work. What is the probability that a randomly chosen individual is either a woman or a person working outside the village?
View All Questions