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|This article may not meet the notability guidelines for products and services. Please help to establish notability by adding reliable, secondary sources about the topic. If notability cannot be established, the article is likely to be merged, redirected, or deleted. (July 2009)|
|Developer(s)||Paton-Simpson & Associates Ltd|
|Stable release||0.9.3 / 1 February 2010|
SOFA Statistics is an open-source statistical package, with an emphasis on ease of use, learn as you go, and beautiful output. The name stands for Statistics Open For All. It has a graphical user interface and can connect directly to MySQL, SQLite, MS Access, and MS SQL Server. Data can also be imported from CSV or MS Excel files. The main statistical tests available are Independent and Paired t-tests, Wilcoxon signed ranks, Mann–Whitney U, Pearson's chi square, Kruskal Wallis H, one-way ANOVA, Spearman's R, and Pearson's R. Nested tables can be produced with row and column percentages, totals, sd, mean, median, and sum.
Analysis and reporting can be automated using Python scripts – either exported directly from SOFA Statistics or manually written.
- SOFA Statistics Homepage
- SOFA Statistics project page at SourceForge
- SOFA Statistics project page at Launchpad
- SOFA Statistics page at Showmedo