You'll also run into something called a p - value. There's a lot packed in that little p and there are books written on the subject. Here's what you need to know. This video explains how to use the p - value to draw conclusions from The null hypothesis needs to be. The end result of a statistical significance test is a p value, which represents the probability that random fluctuations alone could have generated results that.
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BERGER, Calibration of p Values for Testing Precise Null Hypotheses, The American Statistician, February , Vol. For example, suppose that a vaccine study produced a P value of 0. To put it another way, the reasoning goes like this: First and foremost, a p value is simply a probability. In fact, P values often determine what studies get published and what projects get funding. CRM For Dummies Cheat Sheet.