StatPlus is a free software product made by analystSoft for simple multivariate and univariate statistical analysis ( MANOVA, GLM, SAS, R Stat, t-tests), and time series analysis. It was originally intended for use in the biomedical sciences and called BioStat. Although Stat PLUS was initially developed for medical research analyses, it is now widely used in the software industry for a wide variety of statistical applications. It is one of the most user friendly software products available for Windows because it is very straight-forward to learn and use. It can handle both ordinal multivariate analysis and time series analysis with reliable results.
Stat PLUS makes convenient use of the Statistic library from Statistics UK along with over 100 other correlation coefficient libraries to support advanced techniques such as time trend analysis and ordinal logistic regression. In addition to these capabilities, Stat PLUS includes a number of other utility programs such as the following: graphical user interface, data cleaning, binomial tree, finite difference analysis, maximum likelihood estimation, optimal estimation and forecasting, maximum likelihood solution and many more. The software also provides support for other statistical analysis tools like Microsoft R, Stata and SAS. All the above mentioned applications can be downloaded from Stat PLUS website for free and it is recommended to download the latest release for maximum accuracy and performance.
Stat PLUS is ideal for beginners because all the functionality of Stat PLUS is built into the software making it easy to start using Stat PLUS right out of the box. Stat PLUS also contains a number of video tutorials for the software which explain how to use the various features and how to interpret the results obtained using Stat PLUS. Although Stat PLUS is an excellent statistical software product that can be used for a wide range of applications, it is not meant for those who are new to statistics or for those who are experts in statistics. Stat PLUS was designed to make Statisticians more familiar with the underlying concepts and to make them aware of any potential limitations of the software.
