Asked by Patricia Thomas on Sep 24, 2024
Verified
Type II errors are
A) False negatives
B) False positives
C) True negatives
D) True positives
False Negatives
Errors where a test result incorrectly indicates no presence of a condition when it is actually present.
- Describe the distinctions between Type I and Type II errors, including their causes, and assess their repercussions on business decision processes.
Verified Answer
SJ
Salah Jaser2 days ago
Final Answer :
A
Explanation :
Type II errors occur when we fail to reject a null hypothesis that is actually false. In other words, we incorrectly accept the null hypothesis when in fact the alternative hypothesis is true. This is also known as a false negative, as we have failed to detect a true effect or difference.
Learning Objectives
- Describe the distinctions between Type I and Type II errors, including their causes, and assess their repercussions on business decision processes.