Statistical formulas can be used to create more meaningful data to perform data analysis.

Statistical formulas are implemented using the Statistics class, and can be organized into four general groups: statistical tests, statistical distributions, basic statistical functions, and utility functions.

Filtering Data

Statistical Tests

There are 6 different tests: ANOVA, F-test, Z-test, and three t-tests (equal variance, unequal variance and paired).

Distribution Formulas

There are three distribution formulas: normal distribution, t-distribution (or Student’s t-distribution) and F-distribution.

Filtering Data

Basic Statistical Formulas

There are five basic statistical functions: mean, median, variance, correlation, and covariance. 

Utility Functions

There are two utility functions: the Gamma and Beta functions. These are used in statistics to calculate distribution values, and these functions always return a double value and use one or two double values for input.