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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Advice on gathering and analyzing data in organizations, tips on using Likert scales, and a case study... [more]
Chris McMillan, Senior Corporate Performance Analyst at City of Fayetteville, North Carolina, discusses... [more]
Celso Alvarado is a member of the U.S. Technical Advisory Groups to ISO Technical Committees 176 (TAG... [more]
If you're new to quality, this episode is for you! Learn how to earn a higher salary, discover the seven... [more]
Standards experts explain key changes to ISO 9001:2015, such as how to understand the term 'documented... [more]
Auditing expert and ASQ fellow Dennis Arter shares tips and advice for auditors and auditees.
This episode of ASQ TV explores the culture of quality. Brien Palmer, author of Making Change Work,... [more]
Learn why ISO 9001:2008, one of the world's best known standards, is being revised. Then hear about the... [more]
Recalls can be one of the most challenging aspects of the quality professional's job. In this episode,... [more]
Organizations perceive risk management in three general ways. Carol Fox, Director, Strategic and... [more]
Culture is the driving force of quality. Creating and sustaining a quality culture are much-discussed... [more]
In this episode, learn why less is more! We cover all things lean: What it is and what makes lean... [more]
Voice of the customer, or V-O-C, is the ongoing collection of customer needs and expectations-both... [more]