An outlier, in a distribution of data points, is a value which does not fall within three standard deviations of the mean. You cannot, at least directly, remove an outlier without biasing the data itself, but you can choose different measures to try and soften their effects. For example, instead of using mean as a measurement for the central value of the data set, one can use median.
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The outlier could affect the mean by making it drastically larger or smaller.
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An outlier is a number completely different from the rest in a set of data.For example, in the set:13, 17, 22, 15, 19, 11, 342, 14342 is the outlier.
Not sure about an outlair, but an outlier in a set of values is one that is significantly smaller or greater than the others. There is no formally agreed definition for an outlier.
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