Asked by Michelle Carrey on May 26, 2024
Verified
A Type I error is committed when
A) a true alternative hypothesis is not accepted.
B) a true null hypothesis is rejected.
C) the critical value is greater than the value of the test statistic.
D) sample data contradict the null hypothesis.
Type I Error
An error in hypothesis testing that occurs when the null hypothesis is wrongly rejected, falsely indicating a significant result.
- Understand the implications of Type I and Type II errors in hypothesis testing.
Verified Answer
YB
Yodit BelaynehMay 28, 2024
Final Answer :
B
Explanation :
A Type I error occurs when a true null hypothesis is incorrectly rejected, meaning that the sample data suggest a significant difference or effect when there is none in reality. This is also known as a false positive.
Learning Objectives
- Understand the implications of Type I and Type II errors in hypothesis testing.