The form of statistical tests has been around for about three hundred years and their current form extensively used for more than a century. Yet, correct implementation and interpretation of statistical tests are still puzzling for many, drawing attention and sometimes controversy about their contribution to the work of science. In my talk I would like to explain the concept behind statistical testing and provide a geometric representation of statistical hypothesis test that is relevant to any such test. I will conclude with a description on how to interpret a test outcome and address the difference between statistical significance and a practical one.
After this presentation you should be able to set a statistical test and correctly interpret its results.