Chapter 9 – Understanding Discrete Distributions

1. A Bernoulli distribution is a simple discrete distribution that describes the probability of binary outcomes in an experiment.
2. A binomial distribution has two outcomes in many independent trials. When there are many independent trials and each trial has two exact outcomes, a Bernoulli distribution becomes the binomial distribution.
3. A multinomial distribution describes n independent experiments, and each experiment has more than two choices. The multinomial distribution generalizes the binomial distribution from two outcomes to more than two outcomes.
4. A beta distribution is a distribution of probabilities describing the uncertainty about the probability of success or failure of an experiment. It is an alternation of the binomial distribution. While the binomial distribution describes the number of successes, the beta distribution describes the probability that successes happen.
5. A Dirichlet distribution is a...