A distribution tells us how measures of a certain variable are distributed among the various possible values. Each distribution is characterized by an average value and a variance, which adjusts the uncertainty of the measurements obtained. Poisson's distribution, also known as rare event law, is a very useful type of distribution when dealing with extremely rare events, which occur with a well-defined temporal mean. It is an approximation of the binomial distribution, defined for non-negative integer values. Unlike the binomial distribution, it is hypergeometric and unlimited. Examples are:
- The number of phone calls coming to a home in one day
- The number of clients who lodge complaints within a week
- The number of a ...
