Statistics Toolbox
Product Description
- Introduction and Key Features
- Data Management and Descriptive Statistics
- Probability Distributions and Analysis of Variance
- Linear and Nonlinear Modeling and Multivariate Statistics
- Design of Experiments
- Hypothesis Testing and Statistical Process Control
Introduction
Statistics Toolbox™ provides a comprehensive set of tools to assess and understand data. Statistics Toolbox includes functions and interactive tools for modeling data, analyzing historical trends, simulating systems, developing statistical algorithms, and learning and teaching statistics.
The toolbox supports a wide range of tasks, from calculating basic descriptive statistics to developing and visualizing multidimensional nonlinear models. It offers a rich set of statistical plot types and interactive graphics, such as polynomial fitting and response surface modeling.
All toolbox functions are written in the open MATLAB® language so that you can inspect the algorithms, modify the source code, and create your own custom functions.
Key Features
- Data organization and management
- Descriptive statistics
- Statistical plotting and data visualization
- Probability distributions
- Analysis of variance (ANOVA)
- Linear and nonlinear modeling
- Multivariate statistics
- Design of Experiments (DOE)
- Hypothesis testing
- Statistical Process Control (SPC)
Fitting univariate distributions to data. The Distribution Fitting Tool lets you easily import, analyze, and plot your data.
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