Correct

Remember, the null hypothesis states there is no difference
between the populations from which the samples were drawn.
If we reject the idea of no difference, then we are suggesting
that there is a difference. But the difference we found may be
due to any number of factors, including a real difference
between population means. We have to rule out the other
possible factors before we can have confidence that the population
means are actually different. Thus, rejecting the null hypothesis
does not entitle us to be sure of a true population mean difference.
Moreover, we reject the null hypothesis if it is
unlikely to be true, but there is always the possibility
that our decision represents a Type I error.