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  2. Dixon's Q test - Wikipedia

    en.wikipedia.org/wiki/Dixon's_Q_test

    However, at 95% confidence, Q = 0.455 < 0.466 = Q table 0.167 is not considered an outlier. McBane [1] notes: Dixon provided related tests intended to search for more than one outlier, but they are much less frequently used than the r 10 or Q version that is intended to eliminate a single outlier.

  3. Category:Statistical outliers - Wikipedia

    en.wikipedia.org/wiki/Category:Statistical_outliers

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

  4. Outlier - Wikipedia

    en.wikipedia.org/wiki/Outlier

    The modified Thompson Tau test is a method used to determine if an outlier exists in a data set. [23] The strength of this method lies in the fact that it takes into account a data set's standard deviation, average and provides a statistically determined rejection zone; thus providing an objective method to determine if a data point is an outlier.

  5. images.huffingtonpost.com

    images.huffingtonpost.com/2012-08-30-3258_001.pdf

    Created Date: 8/30/2012 4:52:52 PM

  6. Grubbs's test - Wikipedia

    en.wikipedia.org/wiki/Grubbs's_test

    In statistics, Grubbs's test or the Grubbs test (named after Frank E. Grubbs, who published the test in 1950 [1]), also known as the maximum normalized residual test or extreme studentized deviate test, is a test used to detect outliers in a univariate data set assumed to come from a normally distributed population.

  7. Hampel test - Wikipedia

    en.wikipedia.org/wiki/Hampel_test

    Download as PDF; Printable version; ... Hampel test (also known as ... Hampel method) - a statistical test used to detect outliers in a data set. [1]

  8. Winsorizing - Wikipedia

    en.wikipedia.org/wiki/Winsorizing

    A typical strategy to account for, without eliminating altogether, these outlier values is to 'reset' outliers to a specified percentile (or an upper and lower percentile) of the data. For example, a 90% winsorization would see all data below the 5th percentile set to the 5th percentile, and all data above the 95th percentile set to the 95th ...

  9. Why Diversity Matters Catalyst 7-16-12 - HuffPost

    images.huffingtonpost.com/2013-03-21-why...

    © 2012 Catalyst Inc. – Do Not Distribute Without Permission 2 Why Diversity Matters ..... 3