All are true about P-value except-: (A) It is the probability of committing type I error, (B) I s equal to I-ss, (C) Is the chance that the presence of difference is concluded when actually there is none, (D) When p-value is less than a, the result is statistically significant
Answer is B. <p> Is equal to 1-ss. Type 1 error is usually fixed in advance by the choice of level of significance employed in the test. Power of a test:1-ss -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. Reference:Simple Biostatistics by Indrayan & Indrayan,1st edition,page no.155. <\p>