Asked by Kiley Ardison on Jul 13, 2024
Verified
Lowering alpha from α = .05 to α = .01 is a way to reduce type I error.
Alpha
A threshold value used in hypothesis testing that determines the level of significance, often set at 0.05.
Type I Error
A Type I error occurs in hypothesis testing when a true null hypothesis is incorrectly rejected, falsely indicating a significant effect or difference when there is none.
- Understand the role of alpha levels in managing Type I errors in statistical hypothesis testing.
Verified Answer
MD
maryse denejusteJul 19, 2024
Final Answer :
True
Explanation :
Lowering alpha decreases the chance of rejecting the null hypothesis when it is actually true, thereby reducing type I error.
Learning Objectives
- Understand the role of alpha levels in managing Type I errors in statistical hypothesis testing.
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