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...

Anderson–Darling test Cramér–von Mises criterion D'Agostino's K-squared test Kolmogorov–Smirnov test Lilliefors test Normal probability plot Shapiro–Francia test Shapiro...

Kolmogorov–Smirnov, Lilliefors, and Anderson–Darling tests. Some published works recommend the Jarque–Bera test, but the test has weakness. In particular, the test has...

and later publications also include the Gumbel distribution. The Lilliefors test represents a special case of this for the normal distribution. The...

tests are used to test the fit between a hypothesis and the data. Choosing the right statistical test is not a trivial task. The choice of the test depends...

Likelihood principle Likelihood-ratio test Likelihood ratios in diagnostic testing Likert scale Lilliefors test Limited dependent variable Limiting density...

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

Lilliefors (June 14, 1928 – February 23, 2008 in Bethesda, Maryland) was an American statistician, noted for his introduction of the Lilliefors 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...

significantly. Tests based on the empirical distribution function: Anderson–Darling test Lilliefors test (an adaptation of the Kolmogorov–Smirnov test) Bayesian...

U} test (also called the Mann–Whitney–Wilcoxon (MWW/MWU), Wilcoxon rank-sum test, or Wilcoxon–Mann–Whitney test) is a nonparametric statistical test of...

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,...

statistical hypothesis test typically involves a calculation of a test statistic. Then a decision is made, either by comparing the test statistic to a critical...

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...

The Wilcoxon signed-rank test is a non-parametric rank test for statistical hypothesis testing used either to test the location of a population based...

Kolmogorov–Smirnov, Lilliefors and Anderson–Darling tests". Journal of Statistical Modeling and Analytics. 2 (1): 21–33. Ralph B. D'Agostino (1986). "Tests for the...

multiplier test and the likelihood-ratio test, the Wald test is one of three classical approaches to hypothesis testing. An advantage of the Wald test over...

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

The Kruskal–Wallis test by ranks, Kruskal–Wallis H {\displaystyle H} test (named after William Kruskal and W. Allen Wallis), or one-way ANOVA on ranks...

The Friedman test is a non-parametric statistical test developed by Milton Friedman. Similar to the parametric repeated measures ANOVA, it is used to...

A Z-test is any statistical test for which the distribution of the test statistic under the null hypothesis can be approximated by a normal distribution...

In statistics, the likelihood-ratio test is a hypothesis test that involves comparing the goodness of fit of two competing statistical models, typically...

In statistical significance testing, a one-tailed test and a two-tailed test are alternative ways of computing the statistical significance of a parameter...

McNemar's test is a statistical test used on paired nominal data. It is applied to 2 × 2 contingency tables with a dichotomous trait, with matched pairs...

Pearson's chi-squared test or Pearson's χ 2 {\displaystyle \chi ^{2}} test is a statistical test applied to sets of categorical data to evaluate how likely...

design and hypothesis testing setup to detect a particular effect if it is truly present. In typical use, it is a function of the test used (including the...

In statistics, the score test assesses constraints on statistical parameters based on the gradient of the likelihood function—known as the score—evaluated...

A permutation test (also called re-randomization test or shuffle test) is an exact statistical hypothesis test making use of the proof by contradiction...

The Kaiser–Meyer–Olkin (KMO) test is a statistical measure to determine how suited data is for factor analysis. The test measures sampling adequacy for...

regression models, the Chow test is often used to test for a single break in mean at a known time period K for K ∈ [1,T]. This test assesses whether the coefficients...