Misinterpretations of p-values and statistical tests persists among researchers and professionals working with statistics and epidemiology

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SUMMARY

    Researchers typically test their research question by formulating a hypothesis and then quantitatively test it by performing a Null Hypothesis Statistical Test (NHST). This article investigates what inferential conclusions researchers in training and persons familiar with statistics find justifiable facing a statistically significant test finding. It proves that H1 is true Correct answer to both H0 and H1 A researcher wanted to test a hypothesis (H1) and set up a statistical test with a null hypothesis (H0). According to the Popperian view of science, no amount of scientific evidence can conclusively prove a general . . .

     

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