The stricter the level of significance, the more statistical power the researcher loses.

Question

Quizplus · Accepted Answer

When the level of significance is stricter, it means that the researcher is less likely to reject the null hypothesis, leading to a decrease in statistical power. This is because a stricter level of significance requires stronger evidence to reject the null hypothesis, which makes it less likely to find significant results even if they exist in reality.

The Stricter the Level of Significance, the More Statistical Power