Which of the following statements regarding statistical significance is FALSE?
A) The level of statistical significance and Type I error are the same thing.
B) Statistical significance is the degree of risk you are willing to take that you will reject a null when it is actually true.
C) When your results are found to be statistically significant, you can conclude that they will have a meaningful effect in the clinic.
D) The researcher can determine the level of statistical significance.

Question

Quizplus · Accepted Answer

Statistically significant results may not necessarily have a meaningful effect in the clinic. The significance only indicates that the results are unlikely to have occurred by chance. Other factors such as clinical relevance, practical significance, and biological plausibility must also be considered to determine the potential impact of the results in the clinic.

Which of the Following Statements Regarding Statistical Significance Is FALSE