Asked by Charlene Coleman on Apr 29, 2024
Verified
What is the outcome when a null hypothesis has been rejected and the null hypothesis is TRUE?
A) a Type II error
B) power
C) a null error
D) a Type I error
Null Hypothesis
A statement in statistical hypothesis testing that assumes no effect or no difference, used as a starting point for testing statistical significance.
Type I Error
The mistaken disapproval of a valid null hypothesis, commonly referred to as a "false positive."
Type II Error
The error that occurs when a false null hypothesis is not rejected, meaning a real effect or difference was missed.
- Identify the differences and understand the impacts of Type I and Type II errors.
Verified Answer
VC
Virginia ClarkMay 03, 2024
Final Answer :
D
Explanation :
When a null hypothesis has been rejected and the null hypothesis is actually true, it is a Type I error. This means that the researcher incorrectly concludes that there is a significant difference when there is not.
Learning Objectives
- Identify the differences and understand the impacts of Type I and Type II errors.