Outlier: Difference between revisions
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imported>Alex Wiegand (New page: An '''outlier''' is an observation in a data set that is so different from the other observations that it appears not to belong in the data set. The most common use of outliers is to exclu...) |
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An '''outlier''' is an observation in a data set that is so different from the other observations that it appears not to belong in the data set. The most common use of outliers is to exclude them from statistical calculations. The reasoning behind this is that the outliers must have been generated by a different phenomenon to the rest of the observations, for example an error in measurement, and would therefore make statistical analysis less accurate. | An '''outlier''' is an observation in a data set that is so different from the other observations that it appears not to belong in the data set. | ||
The most common use of outliers is to exclude them from statistical calculations. | |||
The reasoning behind this is that the outliers must have been generated by a different phenomenon to the rest of the observations, for example an error in measurement, and would therefore make statistical analysis less accurate. | |||
==References== | ==References== | ||
Revision as of 07:53, 7 June 2009
An outlier is an observation in a data set that is so different from the other observations that it appears not to belong in the data set.
The most common use of outliers is to exclude them from statistical calculations.
The reasoning behind this is that the outliers must have been generated by a different phenomenon to the rest of the observations, for example an error in measurement, and would therefore make statistical analysis less accurate.