The MOST commonly used strategy to decrease type I error is to ______.
A) make alpha bigger
B) collect more data
C) always reject the null hypothesis
D) make it harder to reject the null hypothesis

Question

Quizplus · Accepted Answer

To decrease type I error, we need to make it harder to reject the null hypothesis. This can be achieved by decreasing the significance level or alpha value, which is the probability of making a type I error. By setting a lower alpha level, we are increasing the stringency of our test and making it less likely to falsely reject the null hypothesis. Collecting more data can help increase the power of our test, which can decrease type II error, but it doesn't directly affect type I error. Always rejecting the null hypothesis is not a valid strategy as it can lead to excessive type I errors.

The MOST Commonly Used Strategy to Decrease Type I Error