Tips and Techniques for Statistics and Quality Improvement

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

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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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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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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Histograms are one of the most common graphs used to display numeric data. Anyone who takes a statistics course is likely to learn about the histogram, and for good reason: histograms are easy to understand and can instantly tell you a lot about your data.

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Did you ever wonder why statistical analyses and concepts often have such weird, cryptic names?

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