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  2. Fisher's exact test - Wikipedia

    en.wikipedia.org/wiki/Fisher's_exact_test

    Fisher's exact test is a statistical significance test used in the analysis of contingency tables. [1] [2] [3] Although in practice it is employed when sample sizes are small, it is valid for all sample sizes.

  3. Pearson correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Pearson_correlation...

    Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.

  4. Bonferroni correction - Wikipedia

    en.wikipedia.org/wiki/Bonferroni_correction

    With respect to FWER control, the Bonferroni correction can be conservative if there are a large number of tests and/or the test statistics are positively correlated. [ 9 ] Multiple-testing corrections, including the Bonferroni procedure, increase the probability of Type II errors when null hypotheses are false, i.e., they reduce statistical ...

  5. Margin of error - Wikipedia

    en.wikipedia.org/wiki/Margin_of_error

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  6. Tukey's range test - Wikipedia

    en.wikipedia.org/wiki/Tukey's_range_test

    Suppose that we take a sample of size n from each of k populations with the same normal distribution N(μ, σ 2) and suppose that ¯ is the smallest of these sample means and ¯ is the largest of these sample means, and suppose S 2 is the pooled sample variance from these samples. Then the following random variable has a Studentized range ...

  7. Gamma correction - Wikipedia

    en.wikipedia.org/wiki/Gamma_correction

    Gamma correction or gamma is a nonlinear operation used to encode and decode luminance or tristimulus values in video or still image systems. [1] Gamma correction is, ...

  8. Standard deviation - Wikipedia

    en.wikipedia.org/wiki/Standard_deviation

    The formula for the population standard deviation (of a finite population) can be applied to the sample, using the size of the sample as the size of the population (though the actual population size from which the sample is drawn may be much larger).

  9. Mann–Whitney U test - Wikipedia

    en.wikipedia.org/wiki/Mann–Whitney_U_test

    where n 1 is the sample size for sample 1, and R 1 is the sum of the ranks in sample 1. Note that it doesn't matter which of the two samples is considered sample 1. An equally valid formula for U is = (+) The smaller value of U 1 and U 2 is the one used when consulting significance tables. The sum of the two values is given by