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4. When you have more than 3 experimental groups in a study, why can't you use t-tests to determine which groups are significantly different from

4. When you have more than 3 experimental groups in a study, why can't you use t-tests to determine which groups are significantly different from each other? What is the appropriate statistical analysis?

5. Explain the difference between Type I and Type II errors in experimental studies.

6. When a statistical test is NOT significant, why do we use the phrase "fail to reject the H0" instead of "we accept the H0"?

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