Under null hypothesis significance testing, when a test statistic is deemed statistically significant, it indicates that
- The findings are clinically important
- The measures used to test study hypotheses were highly reliable
- The data would occur relatively infrequently, given the null and alpha
- The null hypothesis must be false in reality