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Bayes’ Theorem Explained

Bayes’ theorem is a statistical method for calculating conditional probabilities. It says the probability of an event is affected by how probable the event is and the accuracy of the instrument used to measure it. Author William Hooper wrote about Bayes’ theorem in the March 2014 Quality Progress cover story, “Probing Probabilities.” In this video, Hooper provides background on the theorem, demonstrates how to apply the method in a healthcare example and in an industrial environment, and recommends additional resources to learn more about the theorem. Read the Quality Progress article ... 

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