UPSC MainsMANAGEMENT-PAPER-II202415 Marks
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Q7.

Binomial Probability in Bar Examination

A law graduate student randomly guesses at nine multiple-choice questions in All India Bar Examination. There are four possible answers for every question. However there is only one correct answer. Assuming that all questions are independent to each other, find the possibility that the student chooses six correct answers.

How to Approach

This question requires the application of binomial probability. The approach involves identifying the parameters (number of trials, probability of success, number of successes) and then using the binomial probability formula to calculate the probability of exactly six correct answers. The answer should clearly state the formula used, the values substituted, and the final calculated probability. A clear explanation of each step is crucial for a good score.

Model Answer

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Introduction

Probability theory is a fundamental branch of mathematics that deals with the likelihood of events occurring. In the context of examinations, understanding probability can help assess the chances of success based on random guessing. The All India Bar Examination (AIBE) is a national-level examination conducted by the Bar Council of India for law graduates seeking to practice law in India. This question presents a scenario where a student resorts to random guessing, and we need to determine the probability of achieving a specific outcome – correctly answering six out of nine questions. This calculation utilizes the principles of binomial distribution.

Understanding the Problem

The problem describes a binomial experiment because it meets the following criteria:

  • There are a fixed number of trials (n = 9 questions).
  • Each trial is independent (the answer to one question doesn't affect others).
  • There are only two possible outcomes for each trial (correct or incorrect).
  • The probability of success (correct answer) is constant for each trial (p = 1/4 = 0.25).

Binomial Probability Formula

The probability of exactly k successes in n trials is given by the binomial probability formula:

P(X = k) = nCk * pk * (1 - p)(n - k)

Where:

  • P(X = k) is the probability of exactly k successes
  • nCk is the number of combinations of n items taken k at a time (also written as n! / (k! * (n-k)!))
  • p is the probability of success on a single trial
  • (1 - p) is the probability of failure on a single trial

Applying the Formula to the Question

In this case:

  • n = 9 (number of questions)
  • k = 6 (number of correct answers)
  • p = 0.25 (probability of a correct answer)
  • (1 - p) = 0.75 (probability of an incorrect answer)

Calculating 9C6

9C6 = 9! / (6! * 3!) = (9 * 8 * 7) / (3 * 2 * 1) = 84

Calculating pk and (1 - p)(n - k)

pk = (0.25)6 = 0.000244140625

(1 - p)(n - k) = (0.75)3 = 0.421875

Calculating P(X = 6)

P(X = 6) = 84 * 0.000244140625 * 0.421875 = 0.0086498046875

Final Answer

Therefore, the probability that the student chooses exactly six correct answers is approximately 0.00865 or 0.865%.

Conclusion

In conclusion, the probability of a law graduate student randomly guessing and correctly answering six out of nine multiple-choice questions in the AIBE, with each question having four options, is approximately 0.865%. This calculation demonstrates the application of binomial probability in a real-world scenario. While random guessing is not a recommended strategy for the AIBE, understanding the probabilities involved can provide insight into the challenges of the examination.

Answer Length

This is a comprehensive model answer for learning purposes and may exceed the word limit. In the exam, always adhere to the prescribed word count.

Additional Resources

Key Definitions

Binomial Distribution
A probability distribution that describes the number of successes in a fixed number of independent trials, each with the same probability of success.
Combination
A selection of items from a set where the order of selection does not matter. Represented as nCr or <sup>n</sup>C<sub>r</sub>, it calculates the number of ways to choose 'r' items from a set of 'n' items.

Key Statistics

The pass percentage for the AIBE varies each year. In AIBE XVI (February 2024), the pass percentage was approximately 44% (based on preliminary data).

Source: Various news reports and AIBE official website (as of March 2024)

Approximately 40,000-50,000 law graduates appear for the AIBE each year (as of 2023).

Source: Bar Council of India official data (knowledge cutoff: 2023)

Examples

Coin Toss

Flipping a fair coin ten times and counting the number of heads is a classic example of a binomial experiment. Each flip is an independent trial, with a probability of 0.5 for heads (success).

Frequently Asked Questions

What if the questions were not independent?

If the questions were not independent (e.g., answering one question gave a clue to another), the binomial distribution would not be appropriate. A more complex probability model would be needed to account for the dependencies between the trials.

Topics Covered

StatisticsEducationProbabilityBinomial DistributionStatistical Analysis