Certain statistical distributions occur so often in applications that they are named. Examples include the binomial, exponential, normal, and uniform distributions. These distributions typically have parameters that allow for a certain degree of flexibility for modeling. Two important applications of these common statistical distributions are: ( a) to provide a probability model the outcome of a random experiment, and ( b) to provide a reasonable approximation to a data set, which is typically done for the purpose of statistical inference.