The yes-no distribution, also called the Bernoulli distribution, is a discrete distribution that describes a set of observations that can have only one of two values, such as yes or no, success or failure, true or false, or heads or tails.
The following sections describe the parameters, conditions, and other features of this distribution:
Parameters
Probability of Yes (1)
Conditions
The yes-no distribution is used under these conditions:
For each trial, only 2 outcomes are possible, such as success or failure; the random variable can have only one of two values, for example, 0 and 1.
The mean is p, or probability (0 < p < 1).
Trials are independent. Probability is the same from trial to trial.
The Yes-No distribution is equivalent to the Binomial distribution with one trial.
