Correct Interpretation for One-tailed Hypothesis with Inverse Result I am currently doing a research and have this hypothesis for a variable:
HA: "Variable A has a significant positive influence on Variable B"
However, the result was actually negative and statistically significant at 1%. So just want to confirm whether I can safely say that the result is actually significant but the sign is the opposite from the hypothesis, so we can reject H0? Thanks!

The whole point of statistical hypothesis testing is to set a sharp line to decide when an effect is large enough to "reject" the null hypothesis. In much of science, such sharp cutoffs aren't helpful and can get in the way. But if you want to use a sharp cutoff, you have to do so honestly.
Only choose a one-sided test (also called one-tailed), when you are sure that a true effect (difference) can only go in one direction, and that any observed effect in the other direction can only be explained by experimental error and random sampling. If that is the case, then your p value should be reported as >0.99. It is computed as 1.0 minus the calculated small one-sided p-value. You cannot reject the null hypothesis.
