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The document outlines lectures on binomial, geometric, and Poisson distributions. It begins by discussing the binomial distribution, defining it as arising from experiments with two possible outcomes (success/failure), a fixed number of trials (n), independent trials, and constant probabilities of success (p) and failure (1-p). It provides the binomial probability mass function and defines the binomial random variable X as having a binomial distribution with parameters n and p (X~b(n,p)). It then discusses

Author

Philip Pearce-Pearson

Language

EN