Tips and Techniques for Statistics and Quality Improvement

Blog posts and articles about using Minitab software in quality improvement projects, research, and more.

Recently we shared the first part of our interview with Dr Rozzeta Dolah – you can read the first part here.

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Greg Kinsey, Vice President at Hitachi, is the Keynote speaker at the new Minitab Insights Dublin Conference on 6 November 2018. The conference will bring together data-driven leaders from across European manufacturing to explore the new strategies, methods and tools for innovation and performance. Learn why you need to hear Greg’s view on the Future of Operational Excellence – and how you can be part of it.

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To celebrate Minitab’s support of the recent International Conference on Teaching Statistics in Kyoto, Japan, we sat down with Dr Rozzeta Dolah, whose career and work in statistics and engineering has taken her to her native Malaysia, to Japan and then the USA where she is currently working as a Post-Doctoral Fellow at MIT in Cambridge, Massachusetts.

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Falk Huettman is a professor of wildlife ecology at the Institute of Arctic Biology, Biology and Wildlife Department at the University of Alaska Fairbanks. He uses machine learning extensively in his research.

How accurate is the location of an endangered Aleutian shield-fern specimen collected in Alaska in 1982? Research institutions and museums seek to provide the most accurate data possible to record the past and ...

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Bill Kahn runs the statistical modeling group for consumer banking at Bank of America. His team builds hundreds of models using a broad range of statistical and machine learning techniques. These models help ensure financial stability for individuals, enterprises, and communities throughout the country. Over the past few decades, Bill has led statistics groups at several Fortune 500 financial service, consulting, and...

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As a Technical Leader and Manager in Ford Motor Company’s Global Data Insights and Analytics organization, Bob Thomas is responsible for supporting data-driven analytic solution development that produces business, product and manufacturing insights.

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Machine learning as a tool in your analytical toolkit can help accelerate the discovery of insights in data that can create a more efficient manufacturing process and drive innovation. 

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Adam Russell is a Global Operations Master Black Belt, Tate & Lyle.

Tate & Lyle deploys Continuous Improvement (CI) tools, including Minitab and Salford Predictive Modeler (SPM), to address challenging engineering and manufacturing problems. Our company operates large-scale, continuous flow processes serving the Food & Beverage industry.

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Confidence intervals show the range of values we can be fairly, well, confident, that our true value lies in, and they are very important to any quality practitioner. I could be 95% confident the volume of a can of soup will be 390-410 ml. I could be 99% confident under 2% of the products in my batch are defective.

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You might be thinking, six weeks and you’re still not telling us what happened? When you are solving a manufacturing or development problem you might hear the same thing from your leadership – when will we get the results?

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