Of type I and type II error,which is traditionally regarded as more serious?
A) Type I
B) Type II
C) Type I and Type II are equally serious
D) Neither Type I or Type II is serious and both can be avoided

Question

Quizplus · Accepted Answer

Type I error is more serious because it represents a false positive or rejecting a true null hypothesis, meaning that something is considered significant when it actually is not. This can lead to incorrect decisions and wasted resources. In contrast, Type II error represents a false negative or failing to reject a false null hypothesis, meaning that something is considered not significant when it actually is. While Type II error can also have negative consequences, it is generally considered less serious than Type I error.

Of Type I and Type II Error,which Is Traditionally Regarded