Which of the following is true about hypothesis testing?
A) If your observed mean does not fall in the rejection region, you can choose not to make a conclusion.
B) You can change the alpha level after calculating the p-value to make the reasons for your decision to reject the null hypothesis more persuasive.
C) Despite random sampling and doing all the steps in hypothesis testing correctly, it is possible to make a wrong conclusion.
D) None of the above

Question

Quizplus · Accepted Answer

Despite all efforts to minimize errors in hypothesis testing, there is always a chance of making a wrong conclusion. This is known as a Type I or Type II error. Therefore, it is important to interpret the results carefully and consider the potential for error. Options A and B are incorrect as they do not reflect best practices in hypothesis testing. It is important to make a conclusion based on the results, rather than choosing to not make a conclusion, and changing the alpha level after calculating the p-value is not appropriate as it can increase the likelihood of making a Type I error.

Which of the Following Is True About Hypothesis Testing