• 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...
    19 KB (2,539 words) - 08:02, 25 May 2025
  • Thumbnail for Chi-squared test
    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...
    22 KB (2,432 words) - 16:59, 17 March 2025
  • 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...
    52 KB (7,010 words) - 16:42, 18 June 2025
  • Psychological Statistics (1949) and for McNemar's test, the statistical test he introduced in 1947. McNemar was born in Greenland, West Virginia in 1900...
    4 KB (284 words) - 01:17, 1 June 2024
  • Thumbnail for A/B testing
    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...
    28 KB (3,033 words) - 14:35, 14 June 2025
  • {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...
    22 KB (3,294 words) - 17:44, 20 August 2024
  • 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...
    40 KB (6,443 words) - 05:06, 19 May 2025
  • 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...
    10 KB (1,495 words) - 09:13, 2 June 2025
  • 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...
    44 KB (5,746 words) - 09:56, 30 June 2025
  • Thumbnail for Binary classification
    called class). Typical binary classification problems include: Medical testing to determine if a patient has a certain disease or not; Quality control...
    12 KB (1,428 words) - 02:52, 25 May 2025
  • 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...
    40 KB (5,767 words) - 05:36, 19 May 2025
  • same distribution, as compared to a given alternative hypothesis. McNemar's test: tests whether, in 2 × 2 contingency tables with a dichotomous trait and...
    13 KB (1,692 words) - 00:24, 20 June 2025
  • Thumbnail for Multivariate normal distribution
    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...
    65 KB (9,594 words) - 15:19, 3 May 2025
  • Thumbnail for Z-test
    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...
    15 KB (2,303 words) - 23:33, 6 May 2025
  • 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...
    7 KB (790 words) - 21:08, 20 April 2025
  • 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...
    7 KB (926 words) - 02:12, 4 June 2025
  • Thumbnail for Statistical hypothesis test
    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...
    81 KB (10,117 words) - 07:45, 7 July 2025
  • Categorical Cohen's kappa Contingency table Graphical model Log-linear model McNemar's test Cochran–Mantel–Haenszel statistics Multivariate Regression Manova Principal...
    8 KB (1,096 words) - 07:57, 22 March 2025
  • In statistics, the likelihood-ratio test is a hypothesis test that involves comparing the goodness of fit of two competing statistical models, typically...
    17 KB (2,098 words) - 09:11, 20 July 2024
  • Thumbnail for F-test
    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...
    17 KB (2,189 words) - 12:02, 28 May 2025
  • Thumbnail for Kolmogorov–Smirnov test
    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...
    31 KB (3,909 words) - 09:43, 9 May 2025
  • 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...
    3 KB (279 words) - 13:03, 9 April 2024
  • Thumbnail for Kruskal–Wallis test
    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...
    17 KB (2,324 words) - 11:16, 28 September 2024
  • Thumbnail for One- and two-tailed tests
    In statistical significance testing, a one-tailed test and a two-tailed test are alternative ways of computing the statistical significance of a parameter...
    12 KB (1,765 words) - 11:25, 12 February 2024
  • 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...
    64 KB (8,546 words) - 13:13, 3 March 2025
  • Thumbnail for Pearson correlation coefficient
    below. Permutation tests provide a direct approach to performing hypothesis tests and constructing confidence intervals. A permutation test for Pearson's correlation...
    58 KB (8,398 words) - 00:35, 24 June 2025
  • 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...
    17 KB (2,232 words) - 02:25, 26 May 2025
  • Categorical Cohen's kappa Contingency table Graphical model Log-linear model McNemar's test Cochran–Mantel–Haenszel statistics Multivariate Regression Manova Principal...
    2 KB (272 words) - 16:06, 16 January 2024
  • Epstein R (2005). "Bootstrap methods and permutation tests" (PDF). In David S. Moore, George McCabe (eds.). Introduction to the Practice of Statistics...
    69 KB (9,407 words) - 17:54, 23 May 2025
  • 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...
    12 KB (1,627 words) - 12:37, 9 June 2025