Stat-Ease Blog

I would like to introduce our newest Stat-Ease team member: Greg Campbell.

Greg is tackling his role as Marketing Manager with energy and a determination to make Stat-Ease® shine! I wanted to learn more about Greg and his thoughts for our company’s future, so I asked him a few questions. Here’s what he had to say:

Tell us a little about your background:
It’s varied. I started with a BA in Biology and worked in a biochemistry lab. I then got my MBA in Marketing and Computer Information Systems and have worked in sales and marketing at different companies over the years (mostly in publishing and manufacturing). Most recently, I founded a company with a partner that sold parts for industrial machinery. All of these items pushed me down the path towards Stat-Ease.

What attracted you to joining the Stat-Ease team?
First, I liked the people I met here; friendly and smart. Next, this company sells a robust piece of software that has been around for years. It’s a great combination that allowed me to get back to concentrating on sales and marketing, it’s what I do best!

You’ve attended a Stat-Ease DOE class – what did you learn about our clients?
That sample size is small and insignificant (see what I did there?), but interesting. Most of the clients I met were engineers and cringed at the mere mention of the word ‘statistics’. But they picked up the concepts quickly and started to run with them! They began planning and using what they had just learned to think about how to run some experiments.

What strikes you as something that people should know about DOE?
You don’t have to like, or completely understand, the statistical theories that form the foundation of DOE (look at my example above). We’ve done all the heavy lifting and programming, now they just need to use the software to get their answers and move on to the next step in their job.

Tell us something about your personal story.
Well in my spare time I like to coach “diamond sports”, baseball and softball. I spent several years coaching baseball for my oldest son. He’s now aged out of those community programs. Now, it’s all about softball with my youngest daughter. Many of the basics of the two sports are the same, but there are lots of differences as well.

Music is also a big part of who I am, both listening to it and playing it. I’m a guitarist and listen to all types of music.

On behalf of the Stat-Ease team, I welcome Greg to Stat-Ease and look forward to working with him!

Stat-Ease has moved approximately 1 mile north up to Broadway Place West. We are located on the top floor (foreground of photo). Our building is just off Hwy 36 and Industrial Blvd., east of downtown Minneapolis. Our new postal address is:

Stat-Ease, Inc.
1300 Godward Street NE, Suite 6400
Minneapolis, Minnesota 55413-2561

Please make note and feel free to stop by and visit us!

Stat-Ease is pleased to announce the launch of the Stat-Ease Academy. Applying the same formula that makes our workshops so effective, we've developed a great new training option for you that's available on your schedule, wherever you are! Visit our web site to access e-learning content on a variety of topics—some free of charge, others available for a small fee.

E-learning is the perfect choice if you are looking for a low-cost way to learn the basics of statistics and design of experiments (DOE)—no traveling necessary! You can take an e-learning course to learn new skills, supplement classes you've already had, or as a refresher. This is a great alternative for those who do not have the opportunity to attend a live workshop. Create your own blended training program by taking a combination of instructor-led and e-learning classes.

View E-Learning Courses Here

Take advantage of this great new resource and register today for an e-learning course! Registration provides you with the online content for 120 days.

CAMO Software, leaders in multivariate data analysis software, and Stat-Ease, Inc. have released a software bundle for multivariate data analysis and design of experiments. The software bundle combines CAMO’s leading software for multivariate data analysis, The Unscrambler® X, and Stat-Ease’s leading software for design of experiments, Design-Expert®.

The Unscrambler X offers advanced multivariate methods, data visualization tools and the ability to cut through large data sets. It is used in the pharmaceutical, food & beverage, chemical, energy, mining & metals, paper and agriculture sectors.

Design-Expert enables users to make breakthrough improvements to a product or a process. One can not only screen for vital factors, but also locate ideal process settings for top performance and discover optimal product formulations.

Together, the product bundle will provide customers with access to two world-class software packages providing advanced data analysis in one solution.

Shirley A. Henshall, CEO of CAMO Software, says: “We are pleased to announce the launch of this product bundle together with Stat-Ease. It will provide our customers with leading tools for DOE as well as the existing multivariate data analysis features our customers have enjoyed for many years.”

Pat Whitcomb, President of Stat-Ease, Inc. adds, "This product bundle combines two of the best applications for MVA and DOE to provide clients with powerful tools to improve their products and processes."

Read more about the product bundle at www.camo.com. Special pricing is available for a limited time for Stat-Ease customers who wish to purchase the Unscrambler/Design-Expert software bundle. For more information, contact Heidi.

The DOE Simplified Launchpad e-learning experience is now available. This self-study course is a companion to the recently released DOE Simplified, 3rd Edition book. It's highly interactive, narrated presentation brings the first 3 chapters of the DOE Simplified book to life! You'll feel as if you have a team of instructors right there with you. Topics covered include:

• Basic statistics for DOE—normal distribution, mean, confidence intervals
• Simple comparative experiments—the F-test simplified
• Two-level factorial design—design setup, analysis, and interpretation of model graphs.

Learn more and sign up today by clicking here.