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As in an independent-measures experiment with three treatment conditions, according to ANOVA, all three treatments have the same mean, m 1 = m 2 = m 3, and the value for SS between treatments is 0.
What is ANOVA?
An analytical technique for analyzing variance (ANOVA) is used to look at mean differences. It is made up of many statistical models and the corresponding estimation methods (such as the "variation" within and between groups). The statistical method ANOVA was developed by Ronald An analytical technique for analyzing variance(ANOVA) is used to look at mean differences. It is made up of many statistical models and the corresponding estimation methods (such as the "variation" within and between groups). The statistical method ANOVA was developed by Ronald Fisher. The rule of total variance, on which the is based, separates the observed variance in a given variable into components due to different causes of variation. ANOVA offers a statistical test to evaluate if two or more population means are equivalent, expanding the scope of the t-test beyond two means. In other words, the ANOVA is used to find differences between two or more means.. The rule of total variance, on which the ANOVA is based, separates the observed variance in a given variable into components due to different causes of variation.
ANOVA offers a statistical test to evaluate if two or more population means are equivalent, expanding the scope of the t-test beyond two means. In other words, the ANOVA is used to find differences between two or more means.
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