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.
Need a quick illustration to share with someone about how to
summarize a variable in Minitab? See if they have a magazine on
their desk, and... Continue Reading
It sometimes may be prohibitively expensive or time-consuming to
gather data for all runs for a designed experiment (DOE).
For example, a 6 factor, 2-level factorial design can entail 64
experimental runs, which may be too high a number for your
particular situation. We have seen how to handle these some of
these situations in previous posts, such as Design
of Experiments: "Fractionating" and...Continue Reading
Ever use dental floss to cut soft cheese? Or Alka Seltzer to
clean your toilet bowl? You can find a host of nonconventional uses for ordinary objects
online. Some are more peculiar than others.
Ever use ordinary linear regression to evaluate a response
(outcome) variable of counts?
Technically, ordinary linear regression was designed to evaluate
a a continuous response variable. A continuous... Continue Reading
When performing a design of experiments (DOE), some factor
levels may be very difficult to change—for example, temperature
changes for a furnace. Under these circumstances, completely
randomizing the order in which tests are run becomes almost
impossible.To minimize the number of factor level changes for a
Hard-to-Change (HTC) factor, a
split-plot design is required.
Why Do We Want to Randomize a... Continue Reading
Design of Experiments is an extremely
powerful statistical method, we added a DOE tool to the Assistant
in Minitab 17 to make it more accessible to more
Since it's summer here, I'm applying the
Assistant's DOE tool to outdoor cooking. Earlier, I showed
to set up a designed experiment that will let you optimize how
you grill steaks.
If you're not already using it and you want to... Continue Reading
Design of Experiments (DOE) has a reputation for difficulty, and
to an extent, this statistical method deserves that
reputation. While it's easy to grasp the basic idea—acquire the
maximum amount of information from the fewest number of
experimental runs—practical application of this tool can
quickly become very confusing.
if you're a long-time user of designed experiments, it's still easy
to... Continue Reading
I've never understood the fascination with selfies.
Maybe it's because I'm over 50. After surviving the slings and
arrows of a half a century on Earth, the minute or two I spend in
front of the bathroom mirror each morning is more than
enough selfie time for me.
Still, when I heard that Microsoft had an online app that estimates
the age of any face on a photo, I was intrigued.
How would the app... Continue Reading
my previous post, I wrote about the hypothesis testing ban in
the Journal of Basic and Applied Social Psychology. I
showed how P values and confidence intervals provide important
information that descriptive statistics alone don’t provide. In
this post, I'll cover the editors’ concerns about hypothesis
testing and how to avoid the problems they describe.
The editors describe hypothesis testing... Continue Reading
This week I'm at the American Society for Quality's World
Conference on Quality and Improvement in Nashville, TN. The ASQ
conference is a great opportunity to see how quality professionals
are tackling problems in every industry, from beverage distribution
to banking services.
Given my statistical bent, I like to see how companies apply
tools like ANOVA, regression, and especially... Continue Reading
As a Minitab
trainer, one of the most common questions I get from training
participants is "what should I do when my data isn’t normal?" A
large number of statistical tests are based on the assumption of
normality, so not having data that is normally distributed
typically instills a lot of fear.
Many practitioners suggest that if your data are not normal, you
should do a nonparametric version of... Continue Reading
2016 presidential race is becoming more real. We’ve had several
announcements with Ted Cruz, Rand Paul, Hillary Clinton, and Marco
Rubio officially entering the race to be President. While the
prospective Democratic candidates are down to one, or at most a
few, the Republican field is extra-large this election cycle. The
first order of business for a GOP candidate is to survive the
nomination... Continue Reading
As a member of Minitab's Technical Support team, I get the
opportunity to work with many people using DOE (Design of
People often will call after they've already chosen their
design, run the experiment, and
identified the important factors in their process. But
now what? They have to find the best settings, but with
several factors and responses, what should they do?
"I wish I had
a... Continue Reading
Imagine that you are watching a race and that you are located
close to the finish line. When the first and fastest runners
complete the race, the differences in times between them will
probably be quite small.
Now wait until the last runners arrive and consider their
finishing times. For these slowest runners, the differences in
completion times will be extremely large. This is due to the fact
that... Continue Reading
Suppose that you have designed a brand new product with many
improved features that well help create a much better customer
experience. Now you must ensure that it is manufactured
according to the best quality and reliability standards, so that it
gets the excellent long-term reputation it deserves from potential
customers. You need to move quickly and seamlessly from Research
and Development into... Continue Reading
now I’m enjoying my daily dose of morning joe. As the steam rises
off the cup, the dark rich liquid triggers a powerful enzyme
cascade that jump-starts my brain and central nervous system,
delivering potent glints of perspicacity into the dark crevices of
my still-dormant consciousness.
Feels good, yeah! But is it good for me? Let’s see what the
Drinking more than 4 cups of coffee... Continue Reading
As someone who has
collected and analyzed real data for a living, the idea of
using simulated data for a Monte Carlo simulation sounds a bit odd.
How can you improve a real product with simulated data? In this
post, I’ll help you understand the methods behind Monte Carlo
simulation and walk you through a simulation example using
What is Devize, you ask? Devize is Minitab's
exciting new,... Continue Reading
You may have been in a situation where you had created a general
full factorial design and noticed that your design’s run size was
higher than you imagined. (Quick refresher: a general full
factorial design is an experimental design where any factor can
have more than 2 levels).
Determined to minimize the monstrous size of your worksheet, you
go back to Stat > DOE > Factorial > Create
Factorial... Continue Reading
I really can’t make this stuff up.
I wrote a post a couple of years ago entitled: “How
to Talk to Your Kids about Six Sigma and Quality
Improvement,” in which I lamented about “Community Hero”
day in my daughter’s 1st grade class and the need to
explain to her why I wasn’t at the "community-hero-level" of
Maggie’s Mommy, the pediatrician.
Well, now it's two years later and my son, Thomas, is in... Continue Reading
Last fall I had a birthday. It wasn’t one of those tougher
birthdays where the number ends in a zero. Still, the birthday got
me thinking. In response, I told myself, age is just a number. Then
I did a mental double-take. Can a statistician say that? After all,
numbers are how I understand the world and the way it works.
Can age just be a number? After some musing, I concluded that
age is just a... Continue Reading
by Jasmin Wong, guest blogger
Part 1 of this two-part blog post discusses the issues and
challenges in injection moulding and suggests using simulation
software and the statistical method called Design of Experiments
(DOE) to speed development and boost quality. This part presents a
case study that illustrates this approach.
Preliminary Fill and Designed Experiment
This case study considers the... Continue Reading
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