Specifications

For demos, application examples,
tutorials, user stories, and pricing:
• Visit www.mathworks.com
• Contact The MathWorks directly
US & Canada 508-647-7000
Benelux [phone]
France [phone]
Germany [phone]
Italy [phone]
Korea [phone]
Spain [phone]
Sweden [phone]
Switzerland [phone]
UK [phone]
Visit www.mathworks.com to obtain
contact information for authorized
MathWorks representatives in countries
throughout Asia Pacific, Latin America,
the Middle East, Africa, and the rest
of Europe.
The 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 poly-
nomial 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.
Statistics Toolbox 5
Apply statistical algorithms and probability models
KEY FEATURES
■ Calculation and fitting of probability distributions
■ Linear and nonlinear modeling
■ Multivariate statistics
■ Descriptive statistics
■ Analysis of variance (ANOVA)
■ Hypothesis testing
■ Industrial statistics (Statistical Process Control, Design of
Experiments)
■ Statistical plotting and data visualization
Fitting univariate distributions to
data. 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. The
Statistics Toolbox includes functions for multi-
variate analysis and clustering.
4
5
6
7
8
2
2.5
3.5
4
4.5
1
2
3
4
5
6
7
Variable 2
Variable 1
Variable 3
2
2.
5
3.
5
Variable
2