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What is All are true about P-value except: and explain in detail?
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.