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Design of experiments (DOE) is a foundational statistical skill in science and engineering. Using DOE, researchers can develop efficient plans for collecting data and that can reveal causal relationships between factors and responses. This webinar, intended for those with little-to-no DOE background, will introduce fundamental DOE techniques and how to apply them in JMP. Topics will include:
Designing basic one-factor and factorial experiments
Determining sample sizes for one-factor experiments
Analyzing experimental data with regression models
Designing for different goals (screening vs optimization)
JMP’s Easy DOE platform, which guides the user through the design and analysis of basic experiments