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...

exact test used in place of the 2 × 1 chi-squared test for goodness of fit, see binomial test. Cochran–Mantel–Haenszel chi-squared test. McNemar's test, used...

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...

Psychological Statistics (1949) and for McNemar's test, the statistical test he introduced in 1947. McNemar was born in Greenland, West Virginia in 1900...

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...

{1,1}. In these cases, the same procedure as the sign test is used, but is known as McNemar's test. Instead of paired observations such as (Product A, Product...

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...

linkage between a genetic marker and a trait. It is an application of McNemar's test. A specificity of the TDT is that it will detect genetic linkage only...

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...

called class). Typical binary classification problems include: Medical testing to determine if a patient has a certain disease or not; Quality control...

cannot be used to test correlated data (like matched pairs or panel data). In those cases, McNemar's test may be more appropriate. A test that relies on...

same distribution, as compared to a given alternative hypothesis. McNemar's test: tests whether, in 2 × 2 contingency tables with a dichotomous trait and...

data. Multivariate normality tests include the Cox–Small test and Smith and Jain's adaptation of the Friedman–Rafsky test created by Larry Rafsky and Jerome...

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...

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...

taking into account the stratification. Unlike the McNemar test, which can only handle pairs, the CMH test handles arbitrary strata sizes. It is named after...

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...

Categorical Cohen's kappa Contingency table Graphical model Log-linear model McNemar's test Cochran–Mantel–Haenszel statistics Multivariate Regression Manova Principal...

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

An F-test is a statistical test that compares variances. It is used to determine if the variances of two samples, or if the ratios of variances among multiple...

In statistics, the Kolmogorov–Smirnov test (also K–S test or KS test) is a nonparametric test of the equality of continuous (or discontinuous, see Section...

Vysochanskiï–Petunin inequality Chi-squared test Diagnostic odds ratio Fisher's exact test G-test Odds ratio Relative risk McNemar's test Yates's correction for continuity...

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...

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

is the basis for a test statistic, the so-called likelihood-ratio test. By the Neyman–Pearson lemma, this is the most powerful test for comparing two simple...

below. Permutation tests provide a direct approach to performing hypothesis tests and constructing confidence intervals. A permutation test for Pearson's correlation...

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...

Categorical Cohen's kappa Contingency table Graphical model Log-linear model McNemar's test Cochran–Mantel–Haenszel statistics Multivariate Regression Manova Principal...

Epstein R (2005). "Bootstrap methods and permutation tests" (PDF). In David S. Moore, George McCabe (eds.). Introduction to the Practice of Statistics...

In statistics, normality tests are used to determine if a data set is well-modeled by a normal distribution and to compute how likely it is for a random...