A Type I error is committed if we make:

A) a correct decision when the null hypothesis is false.
B) a correct decision when the null hypothesis is true.
C) an incorrect decision when the null hypothesis is false.
D) an incorrect decision when the null hypothesis is true.

Type I Error

The mistaken disapproval of a valid null hypothesis, commonly referred to as a "false positive."

Null Hypothesis

A statement in hypothesis testing that assumes no significant difference or effect, serving as a default position until evidence indicates otherwise.

Incorrect Decision

A decision that does not result in the optimal or expected outcome, often due to faulty reasoning or misinformation.