Introduction to Design of Experiments (DOE)
Multifactor methods for accelerating process improvement
Ready to begin harnessing the power of DOE for your own R&D efforts? Jump in to our intro course to learn why DOE works, how to use factorial designs, and gain experience navigating Stat-Ease software. Your instructor will walk you through how to set up an ideal experiment for process-factor screening or characterization of interactions, and how to analyze the results. This class gets you off to a fast start for applying highly effective and efficient multifactor experiments via sound statistical methods.
Courses are held via Zoom, and attendees will need a copy of Stat-Ease software to participate in the hands-on activities.
All modules are $295 per person ($95 for academics).
Discounted rates apply when registering for more than one course.
Section 1: DOE vs. OFAT
Section 2: Transformations (Well drilling case study)
Section 3: Blocking (Reactor case study)
Section 4: Center points (Assay case study)
Section 5: Intro to mixture design
Take our full suite of eLearning courses before starting to gain the background knowledge needed:
Host this class at your company!
Request a quote today - call our Lead Client Specialist at 612.378.9449 or email workshops@statease.com.Public Workshops
2026
Introduction to Design of Experiments (DOE)
Multifactor methods for accelerating process improvement.
9:00AM - 12:30PM (USA Central Time)
Regular price $295.
October 22