The binomial distribution is a key concept in probability that models situations where you repeat the same experiment several times, and each time there are only two possible outcomes—success or ...

ABSTRACT: The famous de Moivre’s Laplace limit theorem proved the probability density function of Gaussian distribution from binomial probability mass function under specified conditions. De Moivre’s ...

The binomial distribution describes the probability of the number of successes for a fixed number of identical independent experiments, each with binary out-put. In real life, practical applications ...

The purpose of this paper is to construct generating functions in terms of hypergeometric function and logarithm function for finite and infinite sums involving higher powers of inverse binomial ...

Probability Distribution Functions is a Python package to help in different kind of probability distributions for a Data Scientist. Probability distributions are a must know for a Data Scientist. It ...

This package contains code for some basic Gaussian and Binomial distribitions. For Gaussian distribution, you can calculate the mean and standard deviation from a sample input file. You can plot ...

Julie Young is an experienced financial writer and editor. She specializes in financial analysis in capital planning and investment management. Suzanne is a content marketer, writer, and fact-checker.