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Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This number is...

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Updated: Jun 3, 2026

A Cost Effective and Adaptable Scratch Migration Assay
08:59

A Cost Effective and Adaptable Scratch Migration Assay

Published on: June 30, 2020

キャリア・ポストドックスの増加 スクラップ・ヒープ・ヒップ

Robert Insall

    Nature
    |April 2, 2011
    PubMed
    まとめ

    No abstract available in PubMed .

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