Tips and Techniques for Statistics and Quality Improvement

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

Testing potential improvements can get complicated when you're working with multiple suppliers in different steps of a process, but conducting experiments in Minitab Statistical Software to determine significant inputs and then importing your model into a Minitab Workspace Monte Carlo Simulation can help shed some light on the results you'd see. Plus, it's faster and cheaper than running more tests on real parts.

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Last month we published a blog post on 5 Tips for Handling Messy Data. Last week we presented a webinar, Tips & Tricks for Minitab. When I saw feedback on LinkedIn from “extremely informative and enjoyable” to noting the importance of “looking for opportunities for continuous learning,” I’m reassured you all want more!

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Before starting a new project, it is important to have clearly defined goals and guidelines. Without these delineated steps, tasks and deadlines, projects will go in multiple directions instead of staying focused on the end result. Eventually, this will cost valuable time and money.

If you are looking for a way to visualize tasks and keep teams on track during a project, you should use a Gantt chart. Let's learn more...

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Do you ever find yourself struggling to clean and manipulate data for analysis, sometimes spending a lot of time before you even bring the data into Minitab? Well, Minitab has everything you need to manage, clean and manipulate data. Sometimes you just need to know where the right tools are. In this post, I'll give you 5 quick tips for cleaning up your data in Minitab.

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Any project requires clear management and leadership. Successful projects don’t just happen. Even with the best of teams, a clear project scope, objectives and roles need to be defined for a team to launch a successful project.

Whether you're new to project management or an old pro, project charters are tremendously helpful to organize projects and keep everyone on track.

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Minitab’s Python connectivity feature allows users to run open-source Python scripts from within the Minitab interface and displays the results in Minitab’s output pane. Connectivity with Python means that custom analysis or graphs that are not already available in Minitab’s menus are only a few clicks away. And best of all, you don’t need to be a Python programmer to set this up.

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Technology continuously makes our lives easier and allows many of us to stay connected to others and even work remotely during COVID-19. It’s no wonder that companies and instructors everywhere have been revamping education to include digital components in their learning programs. This approach, called blended learning, combines traditional face-to-face training led by expert instructors, with e-learning modules,...

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Surveys have become commonplace in almost every industry, especially with the use of smartphones and social media. Survey data can help analysts understand customer behavior and attitudes. 

And it's not as direct as reading a number off a gage. Questions need to be constructed to get at the complex social phenomenon of behavior. The wording, responses to select from and process of collecting respondents all are part...

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Have you ever been in a meeting where someone presented the results of a data analysis that you didn’t completely understand, but you didn’t ask questions because everyone else in the meeting seemed to get it? If your answer is yes, you might consider spending some time improving your data literacy.

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The healthcare industry has faced enormous challenges in 2020, namely battling the novel coronavirus COVID-19. This industry is made of professionals known for their resiliency, empathy, long hours of hard work and optimism. Given all they do to help others, healthcare workers especially deserve help making their jobs and saving lives easier. One small way Minitab can specifically help them is with value stream...

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