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Compare and contrast the analysis of variance (ANOVA) with a t test.
Solution
Both tests are are able to compare the means of two levels of a factor.
The difference is that the ANOVA test is able to compare two or more level simultaneously
without type I error inflation. If you try to conduct multiple comparisons with just t-tests, then
your alpha level (type I error) will increase.

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