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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.
Frank Ephraim Grubbs (September 2, 1913 – January 19, 2000) was an American statistician. Grubbs's test for outliers, and the Mann-Grubbs method for calculating a binomial series lower confidence bound, are named after him. He worked at the Ballistic Research Laboratory while he was a Captain in the U.S. Army.
The modified Thompson Tau test is used to find one outlier at a time (largest value of δ is removed if it is an outlier). Meaning, if a data point is found to be an outlier, it is removed from the data set and the test is applied again with a new average and rejection region. This process is continued until no outliers remain in a data set.
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Bertrand's box paradox; Bessel process; ... Grubbs's test for outliers; Guess value; ... Outliers in statistics – redirects to Robust statistics ...
The number of childfree women is at a record high: 48 percent of women between the ages of 18 and 44 don’t have kids, according to 2014 Census numbers. The Huffington Post and YouGov asked 124 women why they choose to be childfree.
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An outlier is an observation which deviates so much from the other observations as to arouse suspicions that it was generated by a different mechanism. [ 2 ] Anomalies are instances or collections of data that occur very rarely in the data set and whose features differ significantly from most of the data.