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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
The five-number summary is a set of descriptive statistics that provides information about a dataset. It consists of the five most important sample percentiles : the sample minimum (smallest observation)
The following table contains summary statistics for all thirteen data sets. ... is a function that checks whether the statistics for the two given data sets are ...
The following tables compare general and technical information for a number of ... Perl (by Statistics::R module) R++: Zebrys 1.6.15 (8 December 2023 ()) [8 ...
Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).
Pages in category "Summary statistics for contingency tables" The following 28 pages are in this category, out of 28 total. This list may not reflect recent changes. C.
In statistics, the sample maximum and sample minimum, also called the largest observation and smallest observation, are the values of the greatest and least elements of a sample. [1] They are basic summary statistics, used in descriptive statistics such as the five-number summary and Bowley's seven-figure summary and the associated box plot.
In statistics, the phi coefficient (or mean square contingency coefficient and denoted by φ or r φ) is a measure of association for two binary variables.. In machine learning, it is known as the Matthews correlation coefficient (MCC) and used as a measure of the quality of binary (two-class) classifications, introduced by biochemist Brian W. Matthews in 1975.