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Version 5.3 (R2006b) Statistics Toolbox Software

This table summarizes what's new in Version 5.3 (R2006b):

New Features and Changes	Version Compatibility Considerations	Fixed Bugs and Known Problems	Related Documentation at Web Site
Yes Details below	Yes Summary	Bug Reports Includes fixes	No

New features and changes introduced in this version are organized by these topics:

• Demos

• Design of Experiments

• Hypothesis Tests

• Multinomial Distribution

• Regression Analysis

• Statistical Process Control

Demos

The following demo has been updated:

• Selecting a Sample Size — Modified to highlight the new sampsizepwr function

Design of Experiments

The following visualization functions, commonly used in the design of experiments, have been added:

• interactionplot — Two-factor interaction plot for the mean

• maineffectsplot — Main effects plot for the mean

• multivarichart — Multivari chart for the mean

Hypothesis Tests

The following functions for hypothesis testing have been added or improved:

• jbtest — Replaces the chi-square approximation of the test statistic, which is asymptotic, with a more accurate algorithm that interpolates p-values from a table of quantiles. A new option allows you to run Monte Carlo simulations to compute p-values outside of the table.

• lillietest — Uses an improved version of Lilliefors' table of quantiles, covering a wider range of sample sizes and significance levels, with more accurate values. New options allow you to test for exponential and extreme value distributions, as well as normal distributions, and to run Monte Carlo simulations to compute p-values outside of the tables.

• runstest — Adds a test for runs up and down to the existing test for runs above or below a specified value.

• sampsizepwr — New function to compute the sample size necessary for a test to have a specified power. Options are available for choosing a variety of test types.

Compatibility Considerations

If the significance level for a test lies outside the range of tabulated values, [0.001, 0.5], then both jbtest and lillietest now return an error. In previous versions, jbtest returned an approximate p-value and lillietest returned an error outside a smaller range, [0.01, 0.2]. Error messages suggest using the new Monte Carlo option for computing values outside the range of tabulated values.

If the data sample for a test leads to a p-value outside the range of tabulated values, then both jbtest and lillietest now return, with a warning, either the smallest or largest tabulated value. In previous versions, jbtest returned an approximate p-value and lillietest returned NaN.

Multinomial Distribution

The multinomial distribution has been added to the list of almost 50 probability distributions supported by the toolbox.

• mnpdf — Multinomial probability density function

• mnrnd — Multinomial random number generator

Regression Analysis

Multinomial Regression

Support has been added for multinomial regression modeling of discrete multi-category response data, including multinomial logistic regression. The following new functions supplement the regression models in glmfit and glmval by providing for a wider range of response values:

• mnrfit — Fits a multinomial regression model to data

• mnrval — Computes predicted probabilities for the multinomial regression model

Multivariate Regression

The new mvregress function carries out multivariate regression on data with missing response values. An option allows you to specify how missing data is handled.

Survival Analysis

coxphfit — A new option allows you to specify the values at which the baseline hazard is computed.

Statistical Process Control

The following new functions consolidate and expand upon existing functions for statistical process control:

• capability — Computes a wider range of probabilities and capability indices than the capable function found in previous releases

• controlchart — Displays a wider range of control charts than the ewmaplot, schart, and xbarplot functions found in previous releases

• controlrules — Supplements the new controlchart function by providing for a wider range of control rules (Western Electric and Nelson)

• gagerr — Performs a gage repeatability and reproducibility study on measurements grouped by operator and part

Compatibility Considerations

The capability function subsumes the capable function that appeared in previous versions of Statistics Toolbox software, and the controlchart function subsumes the functions ewmaplot, schart, and xbarplot. The older functions remain in the toolbox for backwards compatibility, but they are no longer documented or supported.

Version 6.0 (R2007a) Statistics Toolbox Software

Version 5.2 (R2006a) Statistics Toolbox Software

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