In statistics, G-tests are likelihood-ratio or maximum likelihood statistical significance tests that are increasingly being used in situations where...

hypothesis testing, e.g. to test for normality of residuals, to test whether two samples are drawn from identical distributions (see Kolmogorov–Smirnov test),...

A chi-squared test (also chi-square or χ2 test) is a statistical hypothesis test used in the analysis of contingency tables when the sample sizes are large...

A/B testing (also known as bucket testing, split-run testing, or split testing) is a user experience research methodology. A/B tests consist of a randomized...

permutation test involves two or more samples. The null hypothesis is that all samples come from the same distribution H0:F=G{\displaystyle H_{0}:F=G}. Under...

An F-test is any statistical test used to compare the variances of two samples or the ratio of variances between multiple samples. The test statistic,...

test statistics are tests for nested models and can be phrased as log-likelihood ratios or approximations thereof: e.g. the Z-test, the F-test, the G-test...

Shapiro–Wilk test is a test of normality. It was published in 1965 by Samuel Sanford Shapiro and Martin Wilk. The Shapiro–Wilk test tests the null hypothesis...

received had they not been tied. The test statistic is given by H = ( N − 1 ) ∑ i = 1 g n i ( r ¯ i ⋅ − r ¯ ) 2 ∑ i = 1 g ∑ j = 1 n i ( r i j − r ¯ ) 2 , {\displaystyle...

Student's t-test is a statistical test used to test whether the difference between the response of two groups is statistically significant or not. It...