Binomial Distribution

Choose and analyze binomial models for fixed collections of binary trials. Work from assumptions and simple counts to exact probabilities, cumulative tables, indicator derivations, sample proportions, parameter recovery and design diagnostics. Prerequisites: probability rules, independence, expectation, variance and Bernoulli indicators. Worked solutions distinguish valid models from heterogeneous, dependent or stopped experiments and explain the reasoning behind each distractor.

Further reading:

• Kyle Siegrist: Binomial distribution
• Hossein Pishro-Nik: Special discrete distributions

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