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2. Two-way analysis of variance - Wikipedia

   en.wikipedia.org/wiki/Two-way_analysis_of_variance

   In statistics, the two-way analysis of variance (ANOVA) is an extension of the one-way ANOVA that examines the influence of two different categorical independent variables on one continuous dependent variable. The two-way ANOVA not only aims at assessing the main effect of each independent variable but also if there is any interaction between them.

3. Mixed-design analysis of variance - Wikipedia

   en.wikipedia.org/wiki/Mixed-design_analysis_of...

   Andy Field (2009) [1] provided an example of a mixed-design ANOVA in which he wants to investigate whether personality or attractiveness is the most important quality for individuals seeking a partner. In his example, there is a speed dating event set up in which there are two sets of what he terms "stooge dates": a set of males and a set of ...

4. Analysis of variance - Wikipedia

   en.wikipedia.org/wiki/Analysis_of_variance

   The definitional equation of sample variance is = (¯), where the divisor is called the degrees of freedom (DF), the summation is called the sum of squares (SS), the result is called the mean square (MS) and the squared terms are deviations from the sample mean. ANOVA estimates 3 sample variances: a total variance based on all the observation ...

5. Kruskal–Wallis test - Wikipedia

   en.wikipedia.org/wiki/Kruskal–Wallis_test

   The Kruskal–Wallis test by ranks, Kruskal–Wallis test (named after William Kruskal and W. Allen Wallis), or one-way ANOVA on ranks is a non-parametric statistical test for testing whether samples originate from the same distribution. [1] [2] [3] It is used for comparing two or more independent samples of equal or different sample sizes.

6. ANOVA on ranks - Wikipedia

   en.wikipedia.org/wiki/ANOVA_on_ranks

   For example, Monte Carlo studies have shown that the rank transformation in the two independent samples t-test layout can be successfully extended to the one-way independent samples ANOVA, as well as the two independent samples multivariate Hotelling's T 2 layouts [2] Commercial statistical software packages (e.g., SAS) followed with ...

7. Tukey's test of additivity - Wikipedia

   en.wikipedia.org/wiki/Tukey's_test_of_additivity

   The most common setting for Tukey's test of additivity is a two-way factorial analysis of variance (ANOVA) with one observation per cell. The response variable Y ij is observed in a table of cells with the rows indexed by i = 1,..., m and the columns indexed by j = 1,..., n. The rows and columns typically correspond to various types and levels ...

8. Multivariate analysis of variance - Wikipedia

   en.wikipedia.org/wiki/Multivariate_analysis_of...

   The image above depicts a visual comparison between multivariate analysis of variance (MANOVA) and univariate analysis of variance (ANOVA). In MANOVA, researchers are examining the group differences of a singular independent variable across multiple outcome variables, whereas in an ANOVA, researchers are examining the group differences of sometimes multiple independent variables on a singular ...

9. Analysis of covariance - Wikipedia

   en.wikipedia.org/wiki/Analysis_of_covariance

   While the inclusion of a covariate into an ANOVA generally increases statistical power [7] by accounting for some of the variance in the dependent variable and thus increasing the ratio of variance explained by the independent variables, adding a covariate into ANOVA also reduces the degrees of freedom. Accordingly, adding a covariate which ...