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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. Repeated measures design - Wikipedia

    en.wikipedia.org/wiki/Repeated_measures_design

    The F statistic is the same as in the Standard Univariate ANOVA F test, but is associated with a more accurate p-value. This correction is done by adjusting the degrees of freedom downward for determining the critical F value. Two corrections are commonly used: the Greenhouse–Geisser correction and the Huynh–Feldt

  4. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    The solution to this question would be to report the p-value or significance level α of the statistic. For example, if the p-value of a test statistic result is estimated at 0.0596, then there is a probability of 5.96% that we falsely reject H 0.

  5. 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 ...

  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. The Overdue, Under-Told Story Of The Clitoris

    projects.huffingtonpost.com/cliteracy/intro

    From ancient history to the modern day, the clitoris has been discredited, dismissed and deleted -- and women's pleasure has often been left out of the conversation entirely. Now, an underground art movement led by artist Sophia Wallace is emerging across the globe to challenge the lies, question the myths and rewrite the rules around sex and the female body.

  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 ...