This is documentation for Mathematica 6, which was
based on an earlier version of the Wolfram Language.
 Statistics Mathematica provides integrated support both for classical statistics and for modern large-scale data analysis. Its symbolic character allows broader coverage, with symbolic manipulation of statistical distributions, symbolic specification of functions and models, and general symbolic representations of large-scale data properties. Incorporating the latest numerics and computational geometry algorithms, Mathematica provides high-accuracy and high-reliability statistical results for datasets of almost unlimited size. PDF, CDF — probability density function, cumulative density function FindFit — find a general nonlinear fit TUTORIALS Basic Statistics Continuous Distributions Discrete Distributions Descriptive Statistics Convolutions and Correlations Curve Fitting Importing and Exporting Data Pseudorandom Numbers Random Number Generation MORE ABOUT Handling Arrays of Data Numerical Data Linear Regression Nonlinear Regression Analysis of Variance Hypothesis Testing Multivariate Statistics Hierarchical Clustering Statistical Plots New in 6.0: Numerical Data Handling New in 6.0: Statistics RELATED LINKS Demonstrations related to Statistics (The Wolfram Demonstrations Project)