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1.7 The Binomial Distribution: Mathematically Deriving the Mean and Variance
1.17 Poisson or Not? (When does a random variable have a Poisson distribution?)
1.16 Introduction to the Multinomial Distribution
1.4 The Bernoulli Distribution: Deriving the Mean and Variance
1.10 The Poisson Distribution: Mathematically Deriving the Mean and Variance
A proof that as n tends to infinity and p tends to 0 while np remains constant, the binomial distribution tends to the Poisson distribution.
1.7 The Binomial Distribution: Mathematically Deriving the Mean and Variance1.17 Poisson or Not? (When does a random variable have a Poisson distribution?)1.16 Introduction to the Multinomial Distribution1.4 The Bernoulli Distribution: Deriving the Mean and Variance1.10 The Poisson Distribution: Mathematically Deriving the Mean and Variance1.7 The Binomial Distribution: Mathematically Deriving the Mean and Variance1.17 Poisson or Not? (When does a random variable have a Poisson distribution?)1.16 Introduction to the Multinomial Distribution1.4 The Bernoulli Distribution: Deriving the Mean and Variance1.10 The Poisson Distribution: Mathematically Deriving the Mean and Variance