Tips and Techniques for Statistics and Quality Improvement

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

Marilyn Wheatley

Marilyn Wheatley is a technical support specialist at Minitab Inc.

In a webinar next week I’ll be sharing tricks for Classification and Regression Trees (CART) in Minitab Statistical Software. We’ll explore CART results, set penalties for certain data conditions, and discuss best practices for working with your results. Today, I thought I’d give you a taste of what you can expect. And please join me next week to see me demonstrate it!

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Whether you're an analyst, a Lean Six Sigma Master Black Belt, a researcher, a statistics student or all of the above, at some point you will need to work with data that involve either dates, times, or both. Do you know where all of your date/time tools are? Let’s take a quick trip through Minitab Statistical Software and see what it has to offer for date/time data:

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Earlier this year, as I was thinking about all the improvement projects on my needs and wants list, I was unsure where to start. Which projects should be tackled first? Did I capture everything in my potential projects list? And once I decide which projects to schedule, how can I keep on track and visualize progress?

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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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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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If you’ve ever wished for an easy way to add a custom analysis to Minitab’s interface, read on! Minitab’s new Python integration feature allows an avenue for easily running custom Python code via a button in the Minitab interface. If you’re not a programmer, fear not! I’m no programmer myself, so if I can do this, you can too.

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Trying to understand customer or patient behavior can be challenging. Oftentimes, researchers’ use survey data and frequently analyze it using regression in Minitab Statistical Software. But when the outcome variable is categorical rather than quantitative, interpreting the results of a logistic regression is not very straightforward or intuitive.

Another option for analyzing survey data in Minitab? Tap into 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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