In this example, each of the 28 probability distribution types in BestFit will be fit to a set of 100 points that were randomly generated when you entered this example. These data could represent almost anything: material costs of a manufacturing component, prices of a stock or commodity; sales revenues, inches of rain in a year, etc. After a fit, the resulting distribution can be used as an input to a simulation or in any other application where a probability distribution is required. By fitting standard distributions to data , you can accurately describe uncertain factors in your models. You can enter your own sample data points and see what distribution fits the best.
