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    Difference between T-Test and ANOVA

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    What is the difference between a t-test and ANOVA, and how are they related?

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    Both a t-test and ANOVA compare group means. A t-test is used when determining if two means (i.e., averages) are the same or different. An analysis of variance (ANOVA) is performed when comparing three or more means. The procedure of calculating a series of t ratios involves a great deal of work and increases the probability of making a ...

    Solution Summary

    This solution describes the difference between a t-test and ANOVA. It also describes how they are similar. Includes APA formatted reference.

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