This question evaluates understanding of conditional probability, base-rate reasoning, and probabilistic modeling of differing event rates. It is commonly asked to assess whether an applicant can integrate prior class proportions with unequal per-account event rates when estimating source probabilities, belongs to the Statistics & Math category, and tests conceptual understanding of probability rather than implementation-level skills.

You operate a platform where 95% of accounts are real and 5% are fake. Fake accounts send 10 times as many friend requests per account as real accounts.
If you receive a random incoming friend request, what is the probability that it is from a fake account?
Apply Bayes’ theorem: posterior ∝ prior × likelihood.
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