Choose Index below for a list of all words and phrases defined in this glossary.
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, http://www.iaidq.com/main/glossary.shtml , 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, https:web.archive.org/web/20111109014246/http:www.isixsigma.com/index.php?option=com_glossary
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, http://www.mass.gov/dep/cleanup/laws/glossa01.htm
outlier -
(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, http://support.esri.com/en/knowledgebase/GISDictionary/term/abbreviation
Data Quality Glossary. A free resource from GRC Data Intelligence. For comments, questions or feedback: dqglossary@grcdi.nl