Discrete Distributions - rFronteddu/general_wiki GitHub Wiki

Discrete distributions can:

• Be equiprobable if all elements are equally likely (ex. draw a card) or Follow a uniform distribution.

Examples of distributions are:

1. Uniform Distribution
2. Bernoulli: Only two outcomes, 1 iteration.
3. Binomial: 2 outcomes per iteration, many iterations.
4. Poisson: Used to test how unusual an event frequency is for a given interval.

Characteristics:

• Finite many distinct outcomes: To determine the probability of an interval we can add the probability of each outcome in the interval. P(Y <- y) = P(Y < (y + 1)).