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2. One-way analysis of variance - Wikipedia

   en.wikipedia.org/wiki/One-way_analysis_of_variance

   Consider an experiment to study the effect of three different levels of a factor on a response (e.g. three levels of a fertilizer on plant growth). If we had 6 observations for each level, we could write the outcome of the experiment in a table like this, where a 1, a 2, and a 3 are the three levels of the factor being studied.

3. Analysis of variance - Wikipedia

   en.wikipedia.org/wiki/Analysis_of_variance

   The simplest experiment suitable for ANOVA analysis is the completely randomized experiment with a single factor. More complex experiments with a single factor involve constraints on randomization and include completely randomized blocks and Latin squares (and variants: Graeco-Latin squares , etc.).

4. Mixed-design analysis of variance - Wikipedia

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

   Huck, S. W. & McLean, R. A. (1975). "Using a repeated measures ANOVA to analyze the data from a pretest-posttest design: A potentially confusing task". Psychological Bulletin, 82, 511–518. Pollatsek, A. & Well, A. D. (1995). "On the use of counterbalanced designs in cognitive research: A suggestion for a better and more powerful analysis".

5. 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.

6. Blocking (statistics) - Wikipedia

   en.wikipedia.org/wiki/Blocking_(statistics)

   In the examples listed above, a nuisance variable is a variable that is not the primary focus of the study but can affect the outcomes of the experiment. [3] They are considered potential sources of variability that, if not controlled or accounted for, may confound the interpretation between the independent and dependent variables .

7. F-test - Wikipedia

   en.wikipedia.org/wiki/F-test

   The hypothesis that a data set in a regression analysis follows the simpler of two proposed linear models that are nested within each other. Multiple-comparison testing is conducted using needed data in already completed F-test, if F-test leads to rejection of null hypothesis and the factor under study has an impact on the dependent variable. [1]

8. Jay-Z accused in a lawsuit of raping a 13-year-old girl in ...

   www.aol.com/jay-z-accused-civil-lawsuit...

   Jay-Z, the star rapper and entrepreneur whose real name is Shawn Carter, was accused in a lawsuit Sunday of raping a 13-year-old girl in 2000 allegedly along with Sean “Diddy” Combs.

9. 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 ...