A better product. An improved process. Stat-Ease, armed with an expertise in design of experiments, has been helping people make breakthroughs since 1985. Find out how our new Stat-Ease 360 software, training, books, and consulting can help you improve your bottom line.
Make the most from every experimentsm
Stat-Ease 360
Design of Experiments Software
Make breakthrough improvements with Stat-Ease 360, which augments the latest-release of Design-Expert® software with expanded capabilities for data analysts. Whether you are new to design of experiments or a pro, the straightforward, easy-to-use interface sits on top of a powerful statistical engine. You will not only screen for vital factors, but also locate ideal process settings for top performance & discover optimal product formulations. Download the Stat-Ease 360 brochure.
Hands-on DOE Training
Learning at Your Convenience
Learn design of experiments (DOE) the way you want to! Take advantage of Stat-Ease's premium training options - choose from eLearning, books, and live, instructor-led sessions. Experienced instructors lead our hands-on, case-study based workshops. Register now for the virtual learning or in-person program that best meets your needs!.
What's New
2022 Online DOE Summit Wrap-Up
Thank you for attending an amazing three days of discovery around practical applications of DOE! Session recordings are posted to the Stat-Ease YouTube Channel. Due to a scheduling shift, Martin Bezener's talk "The Latest & Greatest in Design-Expert and Stat-Ease 360 software" is rescheduled for October 12 - please click the title above to register. All attendees will be entered in a drawing for a complimentary DOE Simplified: Practical Tools for Effective Experimentation textbook!
Blog
Strategy of Experiments for Formulations: Try Screening First!
Over the past decade, scientific research has seen a widespread adoption of mixture DOE for formulations. This is fantastic! However, screening remains underutilized, even though it pays to screen down many components to a vital few before doing an in-depth optimization study. Read Mark's blog to learn how.