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
Design of Experiments
Functions for Design of Experiments (DOE) help you create and test practical plans to gather data for statistical modeling. These plans show you how to manipulate your data inputs in tandem to generate information about their effect on the outputs. Supported design types include:
- Full factorial
- Fractional factorial
- Response surface (central composite and Box-Behnken)
- D-optimal
- Latin hypercube
You can use the toolbox to define, analyze, and visualize a customized DOE. For example, you can estimate input effects and input interactions using ANOVA, linear regression, and response surface modeling, and then visualize results through main effect plots, interaction plots, and multi-vari charts.
Fitting a decision tree to data. The fitting capabilities in Statistics Toolbox let you visualize a decision tree by drawing a diagram of the decision rule and group assignments.
Model of a chemical reaction of an experiment using Design-of-Experiments (DOE) and surface-fitting capabilities of Statistics Toolbox.
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