We are about to test a hypothesis using data from a well-designed study. Which is true?
I. A large P-value would be strong evidence against the null hypothesis.
II. We can set a higher standard of proof by choosing $\alpha = 10 \% \text { instead of } 5 \%$
III. If we reduce the risk of committing a Type I error, then the risk of a Type II error will also
Decrease.
A) none of these
B) III only
C) II only
D) I only
E) I and II only

Question

Quizplus · Accepted Answer

A large P-value indicates weak evidence against the null hypothesis, not strong evidence. Setting $\alpha = 10\%$ instead of 5% lowers the standard of proof, not raises it. Reducing the risk of a Type I error (by lowering $\alpha$) typically increases the risk of a Type II error, not decreases it.

We Are About to Test a Hypothesis Using Data from a Well-Designed