Tips and Techniques for Statistics and Quality Improvement

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

At Minitab, we want our users to focus their time on drawing sensible conclusions from their data that they can use to resolve business problems or take advantage of opportunities. However, with more and more sources of data available, you often spend more time getting ready for analysis and less time interpreting it.

Here are four ideas that demonstrate how Minitab macros deliver “one-click analysis” for the...

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Great stories others want to hear. Common challenges we have all faced before (or might even be facing right now). Discovering new tools in Minitab software as shared by peers. Engaging walkthroughs of finding insights in your data, and recommendations on how to act on them. All packed into a few days of learning and fun.

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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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The potential benefit of the data stored on servers is huge. Banks, insurance companies, telecom companies, manufacturers — in fact organizations from across all industries need to make good use of the data they own to improve their operations, better understand their customers and find competitive advantage.

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The role of quality professionals is more critical today than it ever has been. Quality is a top driver at any company, regardless of size or industry. It’s a major factor when it comes to production numbers, profits and more. However, maintaining and improving quality is no easy task.

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The two previous posts in this series focused on manipulating data using Minitab’s calculator and the Data menu.

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My previous post focused on manipulating text data using Minitab’s calculator.

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With Minitab, it’s easy to create graphs and manage numeric, date/time and text data. But Minitab’s enhanced data manipulation features make it easier to work with text data, too.

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Choosing the right type of subgroup in a control chart is crucial. In a rational subgroup, the variability within a subgroup should encompass common causes, random, short-term variability and represent “normal,” “typical,” natural process variations, whereas differences between subgroups are useful to detect drifts in variability over time (due to “special” or “assignable” causes). Variation within subgroup is...

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You run a capability analysis and your Cpk is bad. Now what?

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