50 Challenging Problems in Probability [Part 28]: Catching the Greedy Counterfeiter

Shelvia
2 min readMay 6, 2024

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Hi, I’ve recently developed an interest in problems related to probability. I came across this book “Fifty Challenging Problems in Probability with Solutions” by Frederick Mosteller. I thought it would be interesting to create a series discussing these captivating problems that might arise as interview questions. Each post will feature only 1 problem, making it a series with a total of 50 parts. Let’s dive in and activate our brain cells 🧠!

Problem:

The king’s minter boxes his coins n to a box. Each box contains m false coins. The king suspects the minter and randomly draws 1 coin from each of n boxes and has these tested.

Question: What is the chance that the sample of n coins contains exactly r false ones?

Image by the author using DALL-E 3.

Solution:

The probability that r out of n coins drawn are the false ones is:

Let’s observe what happens when n grows larger while keeping r and m fixed. Firstly, let’s expand the Binomial coefficient:

The final expression becomes:

For large n, we have:

Therefore, the expression becomes:

which is the Poisson distribution.

And that’s all for this counterfeit coin 🟡 problem. Any feedback or questions are welcome! Check out the other problems in this series:

50 Challenging Problems in Probability

31 stories

Thank you for reading! :)

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Shelvia

Researcher in Information Theory and Trustworthy AI. Addicted to puzzles and brain teasers. Interested in particle physics and neuroscience.