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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 to reveal causal relationships between factors and responses. This webinar, intended for those with little-to-no DOE background, introduces fundamental DOE techniques and how to apply them in JMP. Topics include:

• Designing basic one-factor and factorial experiments

• Determining sample sizes for one-factor experiments

• Analyzing experimental data with regression models

• JMP’s Easy DOE platform