What is XPro?

XPro is the world’s only software package to employ Exact Parametric Statistical Methods, as presented in "Exact Statistical Methods for Data Analysis", Springer-Verlag, New York, (authored by Dr. S. Weerahandi), other recent publications, ASA courses and sessions. Traditional tests and confidence intervals provided by 'all purpose' statistical software are based on unreasonable assumptions or are approximate methods that were developed prior to the computer age. Therefore, for the sake of computational simplicity, they were designed to rely on outdated approximate methods that can introduce unnecessary risks into decisions. XPro software, based on more accurate 'Exact' methods and the power of currently available computer resources, has been proven to be able to detect significant and nonsignificant experimental results, even with small sample sizes. It has been placed into everyday use by commercial, academic and government statisticians to perform the most powerful parametric statistical inference in applications, such as Regression, ANOVA Fixed/Mixed Effects Models, Repeated Measures Models, and Growth Curve Models.

Version 3.0 adds 'one-step plotting' capability to XPro. This latest enhancement to the popular GUI-based software package is designed to further improve user productivity.

Software to Maximize Research Productivity and Avoid Drug Recalls

This software has successfully been used by companies to detect significant and nonsignificant experimental results early, even when only small sample sizes are available. They have been able to introduce new products earlier, while minimizing the chance of costly recalls of problematic drugs. XPro’s controlled procedures can also help avoid erroneous conclusions that cost companies billions of dollars, create credibility and legal problems. And now, the easy to use graphics feature adds yet another powerful dimension to the tool. During our Beta tests, analysts particularly liked using the simple 'one-step plotting' feature to quickly view and assess data patterns and look at error charts, all in the midst of performing various analyses.