gabi-distribution 0.7

Gaussian and Binomial distributions

# gabi-distribution package

This package contains classes for Gaussian and Binomial distribution

# What is Gaussian distribution?

In probability theory, a normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a type of continuous probability distribution for a real-valued random variable.

# What is Binomial distribution?

In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probability distribution of the number of successes in a sequence of n independent experiments, each asking a yes–no question, and each with its own boolean-valued outcome: success/yes/true/one (with probability p) or failure/no/false/zero (with probability q = 1 − p). A single success/failure experiment is also called a Bernoulli trial or Bernoulli experiment and a sequence of outcomes is called a Bernoulli process; for a single trial, i.e., n = 1, the binomial distribution is a Bernoulli distribution. The binomial distribution is the basis for the popular binomial test of statistical significance.

# Files

Generaldistribution.py - This is the base class for the Gaussian and Binomial dostribution class Gaussiandistribution.py - This is the class for Gaussian distribution Binomialdistribution.py - This is the class for Binomial distribution

# Installation

Type the following command into your terminal

pip install gabi_distribution