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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. Normality test - Wikipedia

    en.wikipedia.org/wiki/Normality_test

    A 2011 study concludes that Shapiro–Wilk has the best power for a given significance, followed closely by Anderson–Darling when comparing the Shapiro–Wilk, Kolmogorov–Smirnov, Lilliefors, and Anderson–Darling tests. [1] Some published works recommend the Jarque–Bera test, [2] [3] but the test has weakness.

  4. 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

  5. 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.

  6. Shapiro–Wilk test - Wikipedia

    en.wikipedia.org/wiki/Shapiro–Wilk_test

    The Shapiro–Wilk test tests the null hypothesis that a sample x 1, ..., x n came from a normally distributed population. The test statistic is = (= ()) = (¯), where with parentheses enclosing the subscript index i is the ith order statistic, i.e., the ith-smallest number in the sample (not to be confused with ).

  7. Richard K. Lochridge - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/richard-k-lochridge

    From January 2008 to December 2012, if you bought shares in companies when Richard K. Lochridge joined the board, and sold them when he left, you would have a 55.9 percent return on your investment, compared to a -2.8 percent return from the S&P 500.

  8. 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.

  9. Richard A. Manoogian - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/richard-a-manoogian

    From January 2008 to December 2012, if you bought shares in companies when Richard A. Manoogian joined the board, and sold them when he left, you would have a 92.0 percent return on your investment, compared to a -2.8 percent return from the S&P 500.