Lab 4.1: Glossary

Bernoulli trial: An occurrence in which exactly one of two possible outcomes can occur. Flipping a coin once is a Bernoulli since either a H or a T can occur. To maintain a consistent description, we will always call one of the outcomes "success" and the other "failure". We will always let p denote the probability of "success".

Bernoulli random variable: A Bernoulli random variable counts the number of "successes" in a Bernoulli trial. It takes the value 1 if the trial was a "success" and 0 if it was a "failure."

Bernoulli distribution model: Also called simply a Bernoulli distribution, a Bernoulli distribution model describes the pattern of variation of a Bernoulli random variable. The Bernoulli distribution model is characterized by the parameter p in the Bernoulli trial. The probability mass function of the Bernoulli distribution model with parameter p is