JMP Student Edition provides state-of-the-art design of experiments capabilities, including classical, algorithmic, and many specialized designs, as well as interactive tools for analysis of DOE data. This webinar shows you how to use JMP Student Edition to teach modern algorithmic techniques for design of experiments. Topics include:

•  JMP's Custom Designer for algorithmically created, statistically optimal designs.
• Placing constraints on randomization, run size, and the factor space.
• Incorporating blocking, center points and replicates.
• Design evaluation and comparision.
• Relevant JMP teaching resources.

Recorded on April 22, 2026, using JMP Student Edition 19.

Get full-featured, no-cost JMP software for academic use at jmp.com/student

Register for future JMP Academic webinars at jmp.com/academic-webinars