A type I error occurs when incorrectly rejecting the null hypothesis. The probability of a type I error equals alpha (the level of signiﬁcance). There is always a possibility of type I error, using multiple t test increase the probability of committing a type I error. Type I errors occur for each t- test, the probability of making type I error from each test will increase. ANOVA is a way to test multiple null hypothesis at the same time. ANOVA test reduces the probability of committing a type I error because the F test is only used once. One test reduces the room for type I errors.

References

Grand Canyon University. (2016). PSY520. Lecture 6. Grand Canyon University.

Witte, R. S.,& Witte, J. S.(2015).Statistics (10th Ed.). Hoboken, NJ:

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