Of type I and type II error, which is traditionally regarded as more serious?
A) Type I is considered to be more serious.
B) Type II is considered to be more serious.
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, also known as a false positive, is when the null hypothesis is rejected when it is actually true. This means that a researcher may conclude that there is a significant difference or relationship between variables when there isn't one. In contrast, Type II error, also known as a false negative, is when the null hypothesis is not rejected when it is actually false. This means that a researcher may fail to conclude that there is a significant difference or relationship between variables when there actually is one. While both types of errors are undesirable, Type I error is generally considered more serious because it can lead to false conclusions and potentially harmful actions or decisions based on those conclusions.

Of Type I and Type II Error, Which Is Traditionally