Question

when the results are statistically significant, you should

accept the null hypothesis.

accept the alternative hypothesis.

reject the null hypothesis.

fail to reject the null hypothesis.

Explanation:

In hypothesis testing, when results are statistically significant, it means the evidence against the null hypothesis is strong. We don't "accept" hypotheses (as there's always some uncertainty), but we reject the null hypothesis. The alternative hypothesis is what we consider when the null is rejected. Failing to reject the null is when results aren't significant.

Answer:

reject the null hypothesis.