Visual-XSel comes with a comprehensive set of templates and functions for statistical analysis, hypothesis testing, and process management.
Example: Anderson Darling Normality Test
Example: Type 1 Study
Example:Box Plot Options
Templates and commands include commonly used parametric and non-parametric tests, distribution tests, capability prediction and Gage R&R. Most tests are defined from basic statistical building blocks and functions using Visual XSel's built in visual scripting language. This approach makes it easy for users to write their own tests, expanding or modiyfying the output provided by Visual XSel.
Visual XSel supports Design and Analysis of Experiments covering designs ranging from Factorial and Taguchi to Response Surface and D-Optimal.
One of Visual XSel's outstanding features is the ability to switch between Partial Least Squares and mean Squares analysis at the click of a button, permitting cross-checking of results in difficult cases:
Visual XSel analysis tools and dialog boxes provide context-sensitive help and definitions for most statsictics at the click of a button:
Visual-XSel cause-effect diagrams and matrices support experimental planning and DOE factor selection directly from the diagram. Matrices and Diagrams can be imported and generated from Qualica Planning Suite cause-effect matrices. This permits direct useage of QFD priorities and Knowledge Matrix causes and effects.