Tips and Techniques for Statistics and Quality Improvement

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

Cody Steele

My love for statistics isn’t very common. Even in my own family, the idea of statistics brought frowns to people’s faces. But you don’t have to live in fear of statistics!
Cody Steele

If you watched television between 1989 and 1993, then you might have had the chance to see original episodes of the television series Quantum Leap.

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The easiest way to determine the probability of being born on a certain day is to assume that every day of the year has an equal probability of being a birthday. But academic scholarship tends to point to seasonal variation in births. If you average statistics from the United Nations, the seasonality in the United States of America from 1969 to 2013, excluding 1976 and 1977, looks like this:

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If you follow the news in the United States then you’ve heard that there’s a water crisis in Flint, Michigan. Although there’s going to continue to be debate about how much ethics played a role in the data collection practices, it’s worthwhile to at least be ready to perform the correct analysis on the data when you have it. Here’s how you can use Minitab to be like a citizen data scientist in Flint, and see for...

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At the start of a new year, I like to look for data that’s labeled 2016. While it’s not necessarily new for 2016, one of the first data sets I found was healthcare.gov’s data about qualified health and stand-alone dental plans offered through their site.

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Last time, we used factor analysis to come up with factors we could use to describe the performances of Super Bowl-winning quarterbacks. Now, we’ll try to use those factors to compare the performance of our candidate quarterbacks who won at least 3 Super Bowls.

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Last time I touched on the subject of the greatest Super Bowl quarterback, I promised a multivariate analysis considering several different statistics. Let’s get right to a factor analysis.

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I generally consider myself old-fashioned. I’m not particularly different on Halloween, where I dress up, pass out candy, sit down in front of the television to watch "It’s the Great Pumpkin, Charlie Brown" on ABC, and read Minitab blog posts from Halloweens past.

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Part of the fun of sports statistics is that many of the questions are unanswerable in an absolute sense. After a project to improve patient satisfaction scores at a hospital, you can and should measure patient satisfaction scores to determine that the increase met your goals. In sports, we don’t have exact comparisons from player to player, especially when their careers don’t even overlap. Thus, it wasn’t surprising...

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September 17 marked the release of new information from the American Community Survey (ACS) from the U.S. Census Bureau. Here’s a bar chart of what the press releases looked like for that day:

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When I started out on the blog, I spent some time showing some data sets that would be easy to illustrate statistical concepts. It’s easier to show someone how something works with something familiar than with something they’ve never thought about before.

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