A binomial random variable would be accurate as long as the sampling process used is identical for each trial.
A geometric random variable would be better in this situation because the population is small and the sampling is without replacement.
A hypergeometric random variable would be better in this situation because the population is small and the sampling is without replacement.
A supergeometric random variable would be better in this situation because the population is small and the sampling is without replacement.
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