Chapter 4: Some Discrete Distributions
- State three random variable models that can be constructed using independent Bernoulli trials.
- State the probability mass function of a geometric random variable \(N\) with parameter \(p\), and state its mean and variance.
- Give a constructive definition of a geometric random variable in terms of Bernoulli random variables.
- Translate to and from the “number of trials needed for 1st success” geometric model and the “number of failures needed for 1st success” geometric model.
- State the probability mass function of a negative binomial random variable \(N\) with parameters \((r, p)\), and state its mean and variance.
- Give a constructive definition of a negative binomial random variable in terms of Bernoulli random variables.
- Give a constructive definition of a negative binomial random variable in terms of geometric random variables.
- Translate to and from the “number of trials needed for \(r\)-th success” negative binomial model and the “number of failures for \(r\)-th success” negative binomial model.