This question evaluates understanding of probability and statistical modeling, focusing on expected values, occupancy/assignment distributions, and Poisson approximations in the context of randomized ad impression allocation, placed in the Analytics & Experimentation domain for data science roles.

In an A/B experiment, Y ad impressions are served uniformly at random across X distinct users. Each impression is independently assigned to one of the X users; multiple impressions can be delivered to the same user.
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