true or false. The null hypothesis is not rejected unless there is sufficient evidence to reject it.

True. The null hypothesis is a default position that there is no effect or no difference. It is not rejected unless the data provides sufficient evidence against it, usually in the form of statistical significance determined by a hypothesis test. If the evidence is not strong enough to reject the null hypothesis, researchers typically retain the null hypothesis.