Statistics Toolbox 6

Apply statistical algorithms and probability models

Statistics Toolbox provides engineers, scientists, researchers, financial analysts, and statisticians with a comprehensive set of tools to assess and understand their data. It includes functions and interactive tools for analyzing historical data, model- ing data, simulating systems, developing statistical algorithms, and learning and teaching statistics. The toolbox supports a wide range of tasks, from basic descriptive statistics to devel- oping and visualizing multidimensional nonlinear models. It offers a rich set of statistical plot types and interactive graph- ics, such as polynomial fitting and response surface modeling.All toolbox functions are written in the open MATLAB® language. This means that you can inspect the algorithms, modify the source code, and create your own custom functions.

KEY FEATURES

â–  Data organization and managementâ–  Descriptive statistics â–  Statistical plotting and data visualization â–  Probability distributions â–  Analysis of variance (ANOVA) â–  Linear and nonlinear modeling â–  Multivariate statistics â–  Design of Experiments (DOE) â–  Hypothesis testing â–  Statistical Process control (SPC)
Fitting univariate distributions todata. The Distribution Fitting Tool lets you easily import, analyze, and plot your data. Plots showing how data can be clustered into groups with similar characteristics. Statistics Toolbox includes functions for multivariate analysis and clustering. Accelerating the pace of engineering and science