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2. 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.

3. 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.

4. Free statistical software - Wikipedia

   en.wikipedia.org/wiki/Free_statistical_software

   There are a few reviews of free statistical software. There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics of software, such as ease of use, having a number of statistical procedures and ability to develop new procedures.

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. GCFLearnFree.org - Wikipedia

   en.wikipedia.org/wiki/GCFLearnFree.org

   GCFLearnFree.org was created in July 2000 by Goodwill Community Foundation Inc president Dennis McLain as an online training program with both English and Spanish language lessons. [2] The program was funded through revenue generated from the value of donated items to Goodwill Community Foundation (GCF).

7. Statistics - Wikipedia

   en.wikipedia.org/wiki/Statistics

   A typical statistics course covers descriptive statistics, probability, binomial and normal distributions, test of hypotheses and confidence intervals, linear regression, and correlation. [68] Modern fundamental statistical courses for undergraduate students focus on correct test selection, results interpretation, and use of free statistics ...