Metadata-Version: 1.0
Name: gabi-distribution
Version: 0.7
Summary: Gaussian and Binomial distributions
Home-page: UNKNOWN
Author: Anukool Rathi
Author-email: Anukool.rathi10@gmail.com
License: UNKNOWN
Description-Content-Type: UNKNOWN
Description: # 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
Platform: UNKNOWN
