Statistics Toolbox™ 6.2

Product Description

• Statistics Toolbox 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 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, modeling data, simulating systems, developing statistical algorithms, and learning and teaching statistics.

The toolbox supports a wide range of tasks, from 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. This means 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)

A beta distribution likelihood surface and confidence regions for estimated parameters. Statistics Toolbox provides tools to fit a variety of distributions to data. Click on image to see enlarged view.