What happens to the overall likelihood of making a Type I error as the number of dependent variables increases?
A)Type I error increases
B)Type I error decreases
C)Type I error exceeds Type II error
D)Type II error exceeds Type I error

Question

Quizplus · Accepted Answer

As the number of dependent variables increases in statistical analyses, the overall likelihood of making a Type I error (incorrectly rejecting a true null hypothesis) also increases. This is because each test carries its own risk of a Type I error, and when multiple tests are conducted, the cumulative risk of encountering at least one Type I error across all tests increases.

What Happens to the Overall Likelihood of Making a Type