Which errors are generally considered to be more serious?
A) Type I
B) Type II
C) Type A
D) Type B

Question

Quizplus · Accepted Answer

Type I errors, also known as false positives, occur when a hypothesis is rejected even though it is true. This means that a significant result is found when there is no true effect or difference. This type of error is generally considered more serious because it can lead to incorrect conclusions and decisions based on faulty evidence. Type II errors, on the other hand, occur when a hypothesis is not rejected even though it is false. This means that a non-significant result is found when there is a true effect or difference. While type II errors can lead to missed opportunities for discovery, they are generally considered less serious than type I errors. Type A and Type B errors are not commonly referred to in the statistical community and do not have clear definitions.

Which Errors Are Generally Considered to Be More Serious