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.

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