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[[Category:Statistics templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Statistics templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.
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.
Place this template at the bottom of appropriate articles in statistics: {{Statistics}} For most articles transcluding this template, the name of that section of the template most relevant to the article (usually where a link to the article itself is found) should be added as a parameter. This configures the template to be shown with all but ...
Statistics is often/usually a separate department and major in American universities, and we don't use a template for history, or for large subfields like American history (see the Missouri Compromise article for how specific their infobox is), and for math the infoboxes are usually subfields like Template:topology or Template:analysis-footer.
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 There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics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.
Pages in category "Statistical charts and diagrams" ... Distribution-free control chart; DOE mean plot; Dot plot (bioinformatics) Dot plot (statistics) Double mass ...
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.
Bayesian statistics; Posterior = Likelihood × Prior ÷ Evidence: Background; Bayesian inference; Bayesian probability; Bayes' theorem; Bernstein–von Mises theorem; Coherence; Cox's theorem; Cromwell's rule; Likelihood principle; Principle of indifference; Principle of maximum entropy; Model building; Conjugate prior; Linear regression ...
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