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Discuss why ANOVA requires post-hoc analyses, while t tests do not, and describe under what conditions...

Discuss why ANOVA requires post-hoc analyses, while t tests do not, and describe under what conditions a post-hoc test must be performed.

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Answer #1

ANOVA compares the equality of more than two means where as the t test only compares two mean for the equality

In two means if we got the result whether they are equal or not the question ends,

but in case of ANOVA if all the means are equal the question ends, where if at least one mean is different from other ( null hypothesis is rejected ) we proceed with post hoc t test to obtain the mean different from all

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