Given that CMMI high maturity level and six sigma organizations typically use statistics packages in assisting them to manage and adjust business trends and flows, I thought our readership might find these links to open source stats packages to be of interest.
N.B.: Minitab and SPSS, perhaps the pre-eminent software packages in this arena, are both highly functional, broadly used and extremely expensive; both are also biased to the windows operating system (something I try not to use).
RKWard is meant to become an easy to use, transparent frontend to the R-language, a very powerful, yet hard-to-get-into scripting-language with a strong focus on statistic functions. It will not only provide a convenient user-interface, however, but also take care of seamless integration with an office-suite. Practical statistics is not just about calculating, after all, but also about documenting and ultimately publishing the results. RKWard then is (will be) something like a free replacement for commercial statistical packages. In addition to ease of use, three aspects are particularily important. Visit rkward!
My object in designing and implementing this GUI was to cover the content of a basic-statistics course. The target text was Moore’s The Basic Practice of Statistics, Second Edition
(Freeman, 2000), which is the text that I used for a two-semester introduction to statistics for undergraduate sociology majors. The R Commander implements the content of this text plus some additional material (e.g., linear and generalized linear models). As a result of several suggestions that I have received, the coverage is now larger than originally envisaged. I must confess that I’m not terribly enamored of menu/dialog box interfaces to statistical software, but I do feel that these interfaces have a role for introductory and occasional use. The Commander interface is not innovative, but I hope that it’s simple and familiar. One of my design goals was to wean users from the GUI to writing commands, which is one motivation for the script window. Visit RCmdr!
PSPP is a program for statistical analysis of sampled data. It is a Free replacement for the proprietary program SPSS, and appears very similar to it with a few exceptions. PSPP can perform descriptive statistics, T-tests, linear regression and non-parametric tests. Its backend is designed to perform its analyses as fast as possible, regardless of the size of the input data. You can use PSPP with its graphical interface or the more traditional syntax commands. Visit PSPP/psppire!
SOFA is a user-friendly statistics, analysis, & reporting program. It is free, with an emphasis on ease of use, learn as you go, and beautiful output. Visit SOFA!
Hopefully, these packages provide a somewhat helpful listing of options.
If you are aware of other tools or toolkits that should be added to this little list or if you have any queries or concerns, please use our contact page to let me know.
Mark Rabideau is a SEI SCAMPI High Maturity Lead Appraiser and Six Sigma Master Black Belt. He is also licensed to teach both the CMMI-DEV and SVC constellations’ courses. Hard as it is to believe, Mark has been at this sort of thing since 1990.You may contact him directly by using the .