A statistical significance test that is based on a small sample may not produce a result that is statistically significant even if the true value of the coefficient is different from the value in the null hypothesis. Such a situation is:
A) Power of the test
B) Type I Error
C) Type II Error
D) Significance level of the test

Question

Quizplus · Accepted Answer

This situation is referred to as a Type II error, which occurs when a null hypothesis is not rejected despite being false. This can happen when the sample size is too small, leading to a lack of power in the test to detect a true effect.

A Statistical Significance Test That Is Based on a Small