2025-01-27 at 5:35 pm
#46809

Participant
I would like to give my view on point 4 from page 341: “A nonsignificant test result (P > 0.05) means that the test hypothesis is true or should be accepted.”
This point addresses the misconception that if a P value is greater than 0.05, it means the hypothesis being tested is true and should be accepted. However, a nonsignificant P value only suggests that the data are not unusual under the test hypothesis. It doesn’t prove the hypothesis is true. There could be other reasons for a large P value, such as a small sample size or other assumptions being incorrect. Therefore, it’s important to consider the context and other factors before concluding that the hypothesis is true.