Which of the following is the best reason why one-way ANOVA should be used instead of...
Which of the following is the best reason why one-way ANOVA should be used instead of running several t-tests when there are more than two experimental groups?
A. Doing several t-tests means you might forget which variables you have compared
B. t-tests and ANOVA require different levels of measurement for their dependent variable
C. Performing several t-tests raises the probability of making at least one Type I error
D. Performing several t-tests raises the probability of making at least one Type II error
Homework Answers
We know that,
Every time you conduct a t-test there is a chance that you will make a Type I error. This error is usually 5%. By running two t-tests on the same data you will have increased your chance of "making a mistake" to 10%.
This means that, Performing several t-tests raises the probability of making at least one Type I error.
Hence, Option C. is correct.
Thank You.
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