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

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.

Lowering alpha from α = .05 to α = .01 is a way to reduce type I error.

Definitions

Learning Objectives

Learning Objectives

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