There are many documents available that can tell you more about Statgraphics and how to get the most from its statistical procedures.
Product | Link |
---|---|
Statgraphics Centurion | User Manual in PDF format |
Statgraphics Sigma express | Getting Started.pdf |
Statgraphics stratus | Statgraphics stratus.pdf |
Statgraphics Web Services | Please contact us. |
STATBEANS | Documentation is available online at www.statbeans.com/statbeans.htm. |
Each statistical procedure in Statgraphics Centurion and Statgraphics Sigma express is extensively documented in a separate PDF file, including an explanation of all output, formulas, and a worked example that you can replicate using the sample data files provided. You can access those documents from the Help menu while in the products.
Other documents of interest include:
Document | Description |
---|---|
Contents & Statistics calculated by STATGRAPHICS Centurion XVI | A detailed list of tests and statistics in STATGRAPHICS Centurion XVI. |
Additions and Enhancements | New features in STATGRAPHICS Centurion XVI compared with STATGRAPHICS Centurion XV. |
STATGRAPHICS Centurion XVI Product Brochure | Four page, full color brochure describing the product and its features. |
Product List | PDF file containing the STATGRAPHICS Centurion XVI full product list. |
Migrating from Minitab | A guide for Minitab users, including instructions for moving data and a menu conversion table. |
Selecting Statistical Software for Six Sigma | A discussion of important factors that should be considered when selecting a statistical package to use for Six Sigma |
Integrating STATGRAPHICS Centurion into a Six-Sigma Program | Describes the use of STATGRAPHICS in Six Sigma programs and illustrates some of the applicable procedures. |
Six Sigma Software Comparison | Compares the Six Sigma capabilities of STATGRAPHICS Centurion XVI with those of Minitab. |
Multivariate Stat Tools for Six Sigma | PowerPoint presentation from the 2007 ASQ Six Sigma Conference. |
Creating Statistical Web Services Using ASP.NET | Paper presented at the 2007 Joint Statistical Meetings in Salt Lake City. |
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