All are true about P-value except ?
Ans. is 'b' i.e. Is equal to 1-0 P value is equal to the probability of commiting type I error, i.e. observing a difference when there is no difference in real. When P value is less than signficance level (a) , the results are statistically significant. Significance level (c() is fixed in advance. For example, significance level of study is study is fixed at 0.05 and the p value of test (type I error) is 0.027 (< 0.05), then the result is considered as statistically significant. That means, the maximum tolerable limit of type I error (significance level) of a study is fixed in advance and the usual value is 0.05. That means . 0.05 of type I error is acceptable and if a study has 0.05 type I error, the result is statistically significant.
It is the probability of commiting type I error
Is equal to 1-0
Is the chance that the presence of difference is concluded when actually there is none
when p-value is less than a, the result is statistically significant