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  2. Pearson correlation coefficient - Wikipedia

    en.wikipedia.org/.../Pearson_correlation_coefficient

    If the sample size is moderate or large and the population is normal, then, in the case of the bivariate normal distribution, the sample correlation coefficient is the maximum likelihood estimate of the population correlation coefficient, and is asymptotically unbiased and efficient, which roughly means that it is impossible to construct a more ...

  3. Effect size - Wikipedia

    en.wikipedia.org/wiki/Effect_size

    For example, a sample Pearson correlation coefficient of 0.01 is statistically significant if the sample size is 1000. Reporting only the significant p -value from this analysis could be misleading if a correlation of 0.01 is too small to be of interest in a particular application.

  4. Correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Correlation_coefficient

    A correlation coefficient is a numerical measure of some type of linear correlation, meaning a statistical relationship between two variables. [ a ] The variables may be two columns of a given data set of observations, often called a sample , or two components of a multivariate random variable with a known distribution .

  5. Spearman's rank correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Spearman's_rank_correlation...

    If F(r) is the Fisher transformation of r, the sample Spearman rank correlation coefficient, and n is the sample size, then = is a z-score for r, which approximately follows a standard normal distribution under the null hypothesis of statistical independence (ρ = 0). [12] [13]

  6. Correlation - Wikipedia

    en.wikipedia.org/wiki/Correlation

    Some correlation statistics, such as the rank correlation coefficient, are also invariant to monotone transformations of the marginal distributions of X and/or Y. Pearson/Spearman correlation coefficients between X and Y are shown when the two variables' ranges are unrestricted, and when the range of X is restricted to the interval (0,1).

  7. Fisher transformation - Wikipedia

    en.wikipedia.org/wiki/Fisher_transformation

    where N is the sample size, and ρ is the true correlation coefficient. This transformation, and its inverse = ⁡ ⁡ + = ⁡ (), can be used to construct a large-sample confidence interval for r using standard

  8. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4]

  9. Design effect - Wikipedia

    en.wikipedia.org/wiki/Design_effect

    Intraclass correlation coefficient (ICC) for cluster sampling , , () Measures of variation in weights using the coefficient of variation (CV) squared (relvariance ...