Asked by Audra Laubi on Sep 30, 2024
If we reject the null hypothesis when it is false,then we have committed:
A) a Type II error.
B) a Type I error.
C) both a Type I error and a Type II error.
D) neither a Type I error nor a Type II error.
Type I Error
The mistake of rejecting a true null hypothesis in hypothesis testing, also known as a "false positive."
Type II Error
A statistical error that occurs when a false null hypothesis is not rejected, indicating a false negative finding in testing.
- Understand the concepts of Type I and Type II errors in hypothesis testing.
Learning Objectives
- Understand the concepts of Type I and Type II errors in hypothesis testing.