If you’re familiar with Lean Six Sigma, then you’re familiar
DMAIC is the acronym for Define, Measure, Analyze, Improve and
Control. This proven problem-solving strategy provides a structured
5-phase framework to follow when working on an improvement
This is the first post in a five-part series that focuses on the
tools available in Minitab Statistical
Software that are most... Continue Reading
It's that time of year again. The time when eggs get nogged,
pudding gets figgy, and it becomes socially acceptable to speak in
rhyme. So on that note, and with apologies to Clement Clarke
Moore, I bring you this timely and heartfelt PSA. Enjoy.
Twas the week before Christmas, and
I couldn't be bothered,
to make sure that our tree, had quite enough water."A sprinkling of needles on the carpet, I... Continue Reading
A member of Minitab's LinkedIn
group asked how to create a chart to monitor change by
month, specifically comparing last year's data to this year's data.
My last post showed how to do this using an
Individuals Chart of the differences between this year's and
last year's data. Here's another approach suggested by a
participant in the group.
Applying Statistical Thinking
An individuals chart of the... Continue Reading
2 of this blog series, I wrote about how statistical
inference uses data from a sample of individuals to reach
conclusions about the whole population. That’s a very powerful
tool, but you must check your assumptions when you make statistical
inferences. Violating any of these assumptions can result in false
positives or false negatives, thus invalidating your
The common... Continue Reading
2016 comes to a close, it’s time to reflect on the passage of time
and changes. As I’m sure you’ve guessed, I love statistics and
analyzing data! I also love talking and writing about it. In fact,
I’ve been writing statistical blog posts for over five years, and
it’s been an absolute blast. John Tukey, the renowned statistician,
once said, “The best thing about being a statistician... Continue Reading
by Matt Barsalou, guest blogger
I know that Thanksgiving is always on the last Thursday in
November, but somehow I failed to notice it was fast approaching
until the Monday before Thanksgiving. This led to frantically
sending a last-minute invitation, and a hunt for a turkey.
I live in Germany and this greatly complicated the matter. Not
only is Thanksgiving not celebrated, but also actual turkeys... Continue Reading
LinkedIn group is a good place to ask questions and get
input from people with experience analyzing data and doing
statistics in a wide array of professions. For example, one member
asked this question:
I am trying to create a chart
that can monitor change by month. I have [last year's] data and
want to compare it to [this year's] data...what chart should I use,
and can I auto-update it?... Continue Reading
In this day and age, it’s not uncommon that data entry errors
occur in data sets that are so large that looking for and
correcting the errors by hand is impractical. Fortunately, Minitab
includes tools that make it easy to get your data into shape, so
that you can proceed to getting the answers you need.
Let’s say, for example, that you were going to look at the
Density Database. It’s... Continue Reading
Pareto charts are a special type of bar chart you can use to
prioritize almost anything. This makes them very useful in making
sound decisions. For example, if you have several possible quality
improvement projects, but not enough time or people to do them all
now, you can use a Pareto chart to identify which projects have the
most potential for making meaningful improvement.
Pareto charts look... Continue Reading
again, with the arrival of autumn, it's time for a flu shot.
I get a flu shot every year even though I know they’re not
perfect. I figure they’re a relatively easy and inexpensive way to
reduce the chance of having a miserable week.
I’ve heard on various news media that their effectiveness is
about 60%. But what does 60% effectiveness mean, exactly? How much
does this actually reduce the... Continue Reading
In Part 1 of this
blog series, I wrote about how statistical inference uses data
from a sample of individuals to reach conclusions about the whole
population. That’s a very powerful tool, but you must check your
assumptions when you make statistical inferences. Violating any of
these assumptions can result in false positives or false negatives,
thus invalidating your results.
The common data... Continue Reading
Statistical inference uses data from a sample of individuals to
reach conclusions about the whole population. It’s a very
powerful tool. But as the saying goes, “With great
power comes great responsibility!” When attempting to make
inferences from sample data, you must check your assumptions.
Violating any of these assumptions can result in false positives or
false negatives, thus invalidating... Continue Reading
Data mining can be helpful in the exploratory phase of an
analysis. If you're in the early stages and you're just figuring
out which predictors are potentially correlated with your response
variable, data mining can help you identify candidates. However,
there are problems associated with using data mining to select
In my previous post, we used data mining to settle on
the following... Continue Reading
The ultimate goal of most quality improvement projects is clear:
reducing the number of defects, improving a response, or making a
change that benefits your customers.
We often want to jump right in and start gathering and analyzing
data so we can solve the problems. Checking your measurement
systems first, with methods like attribute agreement analysis or
Gage R&R, may seem like a needless waste... Continue Reading
Face it, you love regression analysis as much as I do.
Regression is one of the most satisfying analyses in Minitab:
get some predictors that should have a relationship to a response,
go through a model selection process, interpret fit statistics like
adjusted R2 and predicted R2, and make
predictions. Yes, regression really is quite wonderful.
Except when it’s not. Dark, seedy corners of the data... Continue Reading
We’ve got a plethora of case studies showing how businesses from different
industries solve problems and implement solutions with data
analysis. Take a look for ideas about how you can use data analysis
to ensure excellence at your business!
Boston Scientific, one of the world’s leading developers of
medical devices, is just one organization who has shared their
story. A team at their Heredia,... Continue Reading
True or false: When comparing a parameter for two sets of
measurements, you should always use a hypothesis test to determine
whether the difference is statistically significant.
The answer? (drumroll...) True!
To understand this paradoxical answer, you need to keep in mind
the difference between samples, populations, and descriptive and
Descriptive Statistics and... Continue Reading
mining uses algorithms to explore correlations in data sets. An
automated procedure sorts through large numbers of variables and
includes them in the model based on statistical significance alone.
No thought is given to whether the variables and the signs and
magnitudes of their coefficients make theoretical sense.
We tend to think of data mining in the context of big data, with
its huge... Continue Reading
September 16, is World Ozone Day. You don't hear much about the
ozone layer any more.
In fact, if you’re under 30, you might think this is just
another trivial, obscure observance, along the lines of International Dot Day (yesterday) or National Apple Dumpling Day (tomorrow).
But there’s a good reason that, almost 30 years ago, the United
Nations designated today to as a day to raise... Continue Reading
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improvement and statistics education. More than 90% of Fortune 100 companies
use Minitab Statistical Software, our flagship product, and more students
worldwide have used Minitab to learn statistics than any other package.
Minitab Inc. is a privately owned company headquartered in State College,
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countries around the world.