Asked by Samantha Marshall on May 28, 2024
Verified
Rejecting the null hypothesis when it is true is called a _____ error, whereas not rejecting a false null hypothesis when it is false is called a(n) _____ error.
A) beta; alpha
B) Type I; Type II
C) minor; major
D) significant; insignificant
Type I Error
The incorrect rejection of a true null hypothesis, or a "false positive," in hypothesis testing, indicating that the test suggests an effect that does not actually exist.
Type II Error
A statistical term referring to the error that occurs when a false null hypothesis is not rejected, indicating a false negative finding.
- Develop an understanding of the essence and repercussions of Type I and Type II errors within statistical assessments.
Verified Answer
RH
Rebecca HendersonJun 03, 2024
Final Answer :
B
Explanation :
The rejection of the null hypothesis when it is actually true is known as Type I error or alpha error, whereas the failure to reject a false null hypothesis is known as Type II error or beta error. Hence, option B - Type I; Type II - correctly represents the two types of errors. Option A is incorrect as it mentions beta and alpha, but reverses their definitions. Option C and D are incorrect as they do not accurately describe the types of errors.
Learning Objectives
- Develop an understanding of the essence and repercussions of Type I and Type II errors within statistical assessments.