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2. PS Power and Sample Size - Wikipedia

   en.wikipedia.org/wiki/PS_Power_and_Sample_Size

   Interactive help is available. The program provides methods that are appropriate for matched and independent t-tests, [2] survival analysis, [5] matched [6] and unmatched [7] [8] studies of dichotomous events, the Mantel-Haenszel test, [9] and linear regression. [3]

3. Free statistical software - Wikipedia

   en.wikipedia.org/wiki/Free_statistical_software

   Many of the free to use programs aim to be similar in function to commercial packages, in that they are general statistical packages that perform a variety of statistical analyses. Many other free to use programs were designed specifically for particular functions, like factor analysis, power analysis in sample size calculations, classification ...

4. JASP - Wikipedia

   en.wikipedia.org/wiki/JASP

   JASP (Jeffreys’s Amazing Statistics Program [2]) is a free and open-source program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS. It offers standard analysis procedures in both their classical and Bayesian form.

5. Jamovi - Wikipedia

   en.wikipedia.org/wiki/Jamovi

   jamovi (stylised in all lower-case) is a free and open-source computer program for data analysis and performing statistical tests. The core developers of jamovi are Jonathon Love, Damian Dropmann, and Ravi Selker, who were developers for the JASP project.

6. Power (statistics) - Wikipedia

   en.wikipedia.org/wiki/Power_(statistics)

   WebPower Free online statistical power analysis (https://webpower.psychstat.org) Free and open source online calculators ( https://powerandsamplesize.com ) PowerUp! provides convenient excel-based functions to determine minimum detectable effect size and minimum required sample size for various experimental and quasi-experimental designs.

7. Statistics Online Computational Resource - Wikipedia

   en.wikipedia.org/wiki/Statistics_Online...

   The Statistics Online Computational Resource (SOCR) [1] is an online multi-institutional research and education organization. SOCR designs, validates and broadly shares a suite of online tools for statistical computing, and interactive materials for hands-on learning and teaching concepts in data science, statistical analysis and probability theory.