Inferential Statistics: Focus on P Value Part II
Key Highlights Knowing that P value is greatly limited or bounded on the fact that: P value by itself fails to provide a good measure of evidence as regards a hypothesis or a model. P values have the potential to measure the incompatibility of data relative to a statistical model specified. P value fails to measure the probability that the hypothesis under scrutiny is true or the probability that data was a result of pure randomness. The statistical significance of the P value is short of explaining the effect size. Why do we have everyone reporting statistical significance only based on P value, even for such important studies as Biomedical trials? Find out the reason and what to do to report results comprehenssively in the second series of Focus on P value for just $4.