All are true about P-value except:
High-Yield Explanation
Type I error is usually fixed in advance by the choice of level of significant employed in the test Type I error is more serious than Type II error Power of a test: 1-b -Is probability of rejecting a Null hypothesis when a predetermined clinically significant difference is indeed present -Power can be increased by increasing the no. of subjects in a trial There is no mathematical relationship between a and b.