Question: what is the difference between accepting the null hypothesis and failing to reject it?
Answer: Failing to reject a hypothesis means a confidence interval contains a value of “no difference”. However, the data may also be consistent with differences of practical importance. Hence, failing to reject the null hypothesis does not mean that we have shown that there is no difference (accept the null hypothesis).