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.

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  • Active
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  • Active
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  • 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. SOFA Statistics is written in Python, and the widget toolkit used is wxPython. The statistical analyses are based on functions available through the Scipy stats module. Analysis and reporting can be automated using Python scripts - either exported directly from SOFA Statistics or manually written.
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  • SOFA Statistics
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  • July 2009
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dbpprop:latestReleaseDate
  • 8 September 2009
dbpprop:latestReleaseVersion
  • 0.8.7
dbpprop:license
dbpprop:name
  • SOFA Statistics
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  • Free Software Portal Logo.svg
  • Free software
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  • Active
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  • 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.
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  • SOFA Statistics
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  • SOFA Statistics
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