Asked by Karina Rocha on Jun 30, 2024
Verified
When the null hypothesis is rejected, it is
A) possible a Type I error has occurred.
B) not possible a Type I error has occurred.
C) possible a Type II error has occurred.
D) possible either a Type I or a Type II error has occurred.
Type I Error
The incorrect rejection of a true null hypothesis, also known as a "false positive" finding.
Null Hypothesis
A hypothesis used in statistics that proposes no significant difference or effect, serving as a default position until evidence suggests otherwise.
- Determine the likelihood of encountering Type I and Type II errors during hypothesis testing.
Verified Answer
CS
Crystal SinghJun 30, 2024
Final Answer :
A
Explanation :
When the null hypothesis is rejected, it is possible that a Type I error has occurred, which means rejecting a true null hypothesis.
Learning Objectives
- Determine the likelihood of encountering Type I and Type II errors during hypothesis testing.