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...

{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...

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

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

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...

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...

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

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...

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,...

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

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...

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...

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...

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...

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...

\beta } is known, we can test u t {\displaystyle u_{t}} for stationarity with an Augmented Dickey–Fuller test or Phillips–Perron test. If β {\displaystyle...

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

Kolmogorov–Smirnov test (K–S test or KS test) is a nonparametric test of the equality of continuous (or discontinuous, see Section 2.2), one-dimensional...

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...

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...

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...

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...

generally covers specialized fields within psychology and education devoted to testing, measurement, assessment, and related activities. Psychometrics is concerned...

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...

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...

treatments the Cochran Q test is equivalent to McNemar's test, which is itself equivalent to a two-tailed sign test. William G. Cochran (December 1950). "The...

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...

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...

ordinal association between two measured quantities. A τ test is a non-parametric hypothesis test for statistical dependence based on the τ coefficient....