Outlier: Difference between revisions
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== Outlier index == | == Outlier index == | ||
::::Β» [[Outlier index | ::::Β» [[Outlier index - DatLab]] | ||
::::Β» [http://www.statisticshowto.com/pearsons-coefficient-of-skewness/ Pearsonβs Coefficient of Skewness], [https://ww2.amstat.org/publications/jse/v19n2/doane.pdf Doane_2011_J Statistics Education: Measuring skewness: a forgotten statistic?] | ::::Β» [http://www.statisticshowto.com/pearsons-coefficient-of-skewness/ Pearsonβs Coefficient of Skewness], [https://ww2.amstat.org/publications/jse/v19n2/doane.pdf Doane_2011_J Statistics Education: Measuring skewness: a forgotten statistic?] |
Latest revision as of 05:22, 19 July 2022
Description
An outlier is a member of a set of values which is inconsistent with other members of that set. An outlier can arise by chance from the expected population, originate from a different population, or be the result of an incorrect recording or other blunder. Many schemes use the term outlier to designate a result that generates an action signal. This is not the intended use of the term. While outliers will usually generate action signals, it is possible to have action signals from results that are not outliers [SOURCE: ISO 5725β1:1994, modified].
Reference: ISO 13528:2015 Statistical methods for use in proficiency testing by interlaboratory comparison
MitoPedia O2k and high-resolution respirometry:
Oroboros QM