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  2. Lilliefors test - Wikipedia

    en.wikipedia.org/wiki/Lilliefors_test

    Lilliefors test is a normality test based on the Kolmogorov–Smirnov test. It is used to test the null hypothesis that data come from a normally distributed population, when the null hypothesis does not specify which normal distribution; i.e., it does not specify the expected value and variance of the distribution. [ 1 ]

  3. Multiple comparisons problem - Wikipedia

    en.wikipedia.org/wiki/Multiple_comparisons_problem

    Although the 30 samples were all simulated under the null, one of the resulting p-values is small enough to produce a false rejection at the typical level 0.05 in the absence of correction. Multiple comparisons arise when a statistical analysis involves multiple simultaneous statistical tests, each of which has a potential to produce a "discovery".

  4. Hubert Lilliefors - Wikipedia

    en.wikipedia.org/wiki/Hubert_Lilliefors

    Hubert Whitman Lilliefors (June 14, 1928 – February 23, 2008 in Bethesda, Maryland) was an American statistician, noted for his introduction of the Lilliefors test. Lilliefors received a BA in mathematics from George Washington University in 1952 [ 1 ] and his PhD at the George Washington University in 1964 under the supervision of Solomon ...

  5. Data dredging - Wikipedia

    en.wikipedia.org/wiki/Data_dredging

    Another remedy for data dredging is to record the number of all significance tests conducted during the study and simply divide one's criterion for significance (alpha) by this number; this is the Bonferroni correction. However, this is a very conservative metric.

  6. p-value - Wikipedia

    en.wikipedia.org/wiki/P-value

    In a significance test, the null hypothesis is rejected if the p-value is less than or equal to a predefined threshold value , which is referred to as the alpha level or significance level. α {\displaystyle \alpha } is not derived from the data, but rather is set by the researcher before examining the data.

  7. False discovery rate - Wikipedia

    en.wikipedia.org/wiki/False_discovery_rate

    This created a need within many scientific communities to abandon FWER and unadjusted multiple hypothesis testing for other ways to highlight and rank in publications those variables showing marked effects across individuals or treatments that would otherwise be dismissed as non-significant after standard correction for multiple tests.

  8. Kate Middleton's Emotional Return to Royal Walkabouts ... - AOL

    www.aol.com/kate-middletons-emotional-return...

    Kate Middleton’s return to greeting the public on Christmas Day was a poignant moment, not just for her, but for the many who had been eagerly awaiting her comeback after a difficult year. For ...

  9. Continuity correction - Wikipedia

    en.wikipedia.org/wiki/Continuity_correction

    In mathematics, a continuity correction is an adjustment made when a discrete object is approximated using a continuous object. Examples. Binomial If a ...