use statistics to arm ourselves with more information. That
information allows us to make more informed decisions. And the
sooner we can obtain this information, the better.
For example, suppose one of your manufacturing machines starts
to malfunction and makes your products out of spec. You don't want
to wait until the product reaches customers before you discover
this information. Then it's... Continue Reading
you ever wonder why statistical analyses and concepts often have
such weird, cryptic names?
One conspiracy theory points to the workings of a secret
committee called the ICSSNN. The International Committee for
Sadistic Statistical Nomenclature and Numerophobia was formed
solely to befuddle and subjugate the masses. Its mission: To select
the most awkward, obscure, and confusing name possible... Continue Reading
Control charts are a fantastic tool. These charts plot your
process data to identify common cause and special cause variation.
By identifying the different causes of variation, you can take
action on your process without over-controlling it.
Assessing the stability of a process can help you determine
whether there is a problem and identify the source of the problem.
Is the mean too high, too low,... Continue Reading
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.
Getting Ready for Factor Analysis
One purpose of factor analysis is to identify underlying factors
that you can’t measure directly. These factors explain the
variation of many different variables in fewer... Continue Reading
into Saturday, Nebraska was 0-5 in games decided by 7 points or
less and Michigan State was 4-0 in games decided by 7 points or
less. You'll often hear sports analysts use this as proof that one
team chokes under the pressure and the other team knows how to win
in the clutch. But in reality, the result in close games can have
just as much to do with luck as it can skill.
Consider the formula... Continue Reading
Don't be a grumpy cat when something on your capability report
doesn't smell right. After
pressing that OK button to run your analysis, allow your inner cat to
understand how and why certain statistics are being used. To help
you along, here are some capability issues that customers have
brought up recently.
Cp is missing
You’ve generated a capability analysis report with the Johnson
transformation... Continue Reading
By Matthew Barsalou, guest
A problem must be understood before it can be properly
addressed. A thorough understanding of the problem is critical when
root cause analysis (RCA) and an RCA is necessary if an
organization wants to implement corrective actions that truly
address the root cause of the problem. An RCA may also be necessary
for process improvement projects; it is... Continue Reading
I have two young children, and I
work full-time, so my adult TV time is about as rare as finding a
Kardashian-free tabloid. So I can’t commit to just any TV
show. It better be a good one. I was therefore extremely
excited when Netflix analyzed viewer
data to find out at what point
watchers get hooked on the first season of various
they identified the episode at which 70% of...Continue Reading
and 1. It's a situation where the
Big Ten 4th down calculator will never say to kick
(unless, of course, it's the end of the game and a field goal will
tie or take the lead). But what would it take to have the
statistics suggest a punt? The key here is how far the punt
travels. Last year the average Big Ten punt traveled about 40
yards. Using this value, in your own territory you'll score... Continue Reading
Easy access to the right tools makes any task easier. That
simple idea has made the Swiss Army knife essential for
adventurers: just one item in your pocket gives you instant access
to dozens of tools when you need them.
If your current adventures include analyzing data, the Editor
menu in Minitab
17 is just as essential.
Minitab’s Dynamic Editor Menu
Any job goes more smoothly when you have easy... Continue Reading
you know that November is World Quality Month? The American Society
for Quality is once again heading up this year’s festivities.
Throughout the month of November, ASQ will be promoting the use
of quality tools in businesses, communities, and institutions all
over the world. You can check it out at http://asq.org/world-quality-month/.
Here at Minitab, we’re also pretty excited about World... Continue Reading
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.
But some younger folks have told me that I’m missing out, so I’m
trying to broaden my horizons to include YouTube. I want to use
data... Continue Reading
Since it's the Halloween season, I want to share how a classic
horror film helped me get a handle on an extremely useful
film is based on John W. Campbell's classic novella "Who Goes
There?", but I first became familiar with it from John
Carpenter's 1982 film The Thing.
In the film, researchers in the Antarctic encounter a predatory
alien with a truly frightening... Continue Reading
approaches, you are probably taking the necessary steps to protect
yourself from the various ghosts, goblins, and witches that are prowling
around. Monsters of all sorts are out to get you, unless they’re
sufficiently bribed with candy offerings!
I’m here to warn you about a ghoul that all statisticians and
data scientists need to be aware of: phantom degrees of freedom.
These phantoms... Continue Reading
lost another close game, teams continue to incorrectly punt to Ohio
State on 4th and short, and Northwestern keeps making terrible 4th
down decisions. Another regular week for the Big Ten 4th down
In case you haven't read the earlier entries in this series,
I've used Minitab Statistical Software to create
a model to determine the correct 4th down
Big Ten Conference... Continue Reading
In Part 5 of our series, we began the analysis of
the experiment data by reviewing analysis of covariance and
blocking variables, two key concepts in the design and
interpretation of your results.
250-yard marker at the Tussey Mountain Driving Range, one of the
locations where we conducted our golf experiment. Some of the
golfers drove their balls well beyond this 250-yard maker during a
few of... Continue Reading
By Matthew Barsalou, guest
Teaching process performance and capability studies is easier
when actual process data is available for the student or trainee to
practice with. As I have previously
discussed at the Minitab Blog, a catapult can be used to
generate data for a capability study. My last blog on using a
catapult for this purspose was several years ago, so I would like
to revisit... Continue Reading
People who are ill frequently need medication. But if they miss
a dose, or receive the wrong medication—or even get the wrong dose
of the right medication—the results can be disastrous.
So medical professionals have a lot at stake in making sure
patients get the right medicine, in the right amount, at the right
time. But hospitals and other medical facilities are complex
systems, and mistakes do... Continue Reading
week is National Healthcare Quality Week, started by the National
Association for Healthcare Quality to increase awareness of
healthcare quality programs and to highlight the work of healthcare
quality professionals and their influence on improved patient care
In honor of the celebration, I wanted to point you to a few case
studies featuring Minitab customers in the healthcare field... Continue Reading
Part 3 of our series, we decided to test our 4
experimental factors, Club Face Tilt, Ball Characteristics, Club
Shaft Flexibility, and Tee Height in a full factorial design
because of the many advantages of that data collection plan.
In Part 4 we concluded that each golfer
should replicate their half fraction of the full factorial 5 times
in order to have a high enough power to detect... Continue Reading
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worldwide have used Minitab to learn statistics than any other package.
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