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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.
A common collection of order statistics used as summary statistics are the five-number summary, sometimes extended to a seven-number summary, and the associated box plot. Entries in an analysis of variance table can also be regarded as summary statistics. [1]: 378
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Template {} is an alias for the Redirect category shell template, which may be used to add as many appropriate rcats as needed, usually from one to seven, along with their parameters, to a redirect. For more information see the documentation on its template page. This rcat may also tag a redirect individually:
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 ...
Template {{Redirect category shell}} may be used to add one or more rcat templates, along with their parameters and categories, to a redirect. For more information, see the documentation page below. For more information, see the documentation page below.
Descriptive statistics provide simple summaries about the sample and about the observations that have been made. Such summaries may be either quantitative, i.e. summary statistics, or visual, i.e. simple-to-understand graphs. These summaries may either form the basis of the initial description of the data as part of a more extensive statistical ...
R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.