Question

question 3
a researcher wants to avoid making a type i error. which of the following actions would be the most effective in reducing the risk of a type i error?
a. choose an alpha level of 0.05.
b. increase the sample size.
c. choose an alpha level of 0.01.

Explanation:

• A Type I error is the probability of rejecting a true null hypothesis.
• The alpha level ($\alpha$) is the probability of making a Type I error.
• A lower $\alpha$ level means a lower probability of Type I error.
• Choosing $\alpha = 0.01$ (Option C) is more conservative than $\alpha=0.05$ (Option A).
• Increasing sample size (Option B) mainly affects Type II error (probability of failing to reject a false null hypothesis), not Type I error.

Answer:

C. Choose an alpha level of 0.01.