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Outlier - definitions

Outlier - A sampled item that has a value or a frequency of its value far separated from those of the other items in the sample, indicating a possible anomaly or error, different population or a bias or error in the sampling technique.

[Category=Data Quality ]

Source: Larry English, External , 04-Feb-2009 10:52

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Outlier - An outlier is a data point that is located far from the rest of the data. Given a mean and standard deviation, a statistical distribution expects data points to fall within a specific range. Those that do not are called outliers and should be investigated.

[Category=Data Quality ]

Source: iSixSigma, 09 February 2011 13:01:40, External

Outlier - An extreme observation that is shown to have a low probability of belonging to a specified data population.

[Category=Quality Assurance ]

Source: Massachusetts Department of Environmental Protection, 24 March 2011 07:28:30, External


   (1) [statistics] An unusual or extreme data value in a dataset. In data analysis, outliers can potentially have a strong effect on results and so must be analyzed carefully to determine if they represent valid or erroneous data.
   (2) [geology] In geology, a feature that lies apart from the main body or mass to which it belongs: for example, a rock or stratum that has been separated from a formation by erosion.

[Category=Geospatial ]

Source: esri, 29 June 2012 10:08:31, External

Data Quality Glossary.  A free resource from GRC Data Intelligence. For comments, questions or feedback: