Binomial distribution

binomial distribution  Learn how to solve any Binomial Distribution problem in Statistics! In this tutorial, we first A more valuable probability density function with many applications is the binomial distribution This distribution will compute

Binomial distribution, Poisson distribution, geometric distribution and negative binomial distribution are some examples of discrete random variable It turns out that the discrete binomial probability distri- bution can be approximated by the continuous normal distribution with a known mean

A binomial distribution can be thought of as simply the probability of a SUCCESS or FAILURE outcome in an experiment or survey that is repeated multiple times  Our X is a binomial random variable meaning it represents the number of successes in n trials So it can take 0, 1, 2 or 3 Now, we would like