Asked by Desiree LeBoeuf on Jul 03, 2024
Verified
A Type I error for a statistical test is committed if we reject the null hypothesis when it is true.
Type I Error
The statistical error that occurs when a true null hypothesis is incorrectly rejected.
Null Hypothesis
A statistical hypothesis that assumes no significant difference or effect in a given situation, used as a basis for testing.
- Distinguish among error categories (Type I and Type II) and comprehend their consequences in the realm of hypothesis evaluation.
Verified Answer
EN
emmanuel nwawuiheJul 06, 2024
Final Answer :
True
Explanation :
This is the correct definition of a Type I error. It is also known as a false positive.
Learning Objectives
- Distinguish among error categories (Type I and Type II) and comprehend their consequences in the realm of hypothesis evaluation.