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    Analysis of variance

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    Explain why you should use ANOVA instead of several t tests to evaluate mean differences when an experiment consists of three or more treatment conditions.

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    Analysis of variance (ANOVA) is a statistical procedure used for comparing sample means. The results of the ANOVA can be used to infer that the means of the corresponding population distributions also differ. Whereas t-tests compare only two sample distributions, ANOVA is capable of comparing many. As a study ...

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    The solution explains why you should use ANOVA instead of several t tests to evaluate mean differences when an experiment consists of three or more treatment conditions.

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