JMP Learning Library

Design and Analysis of Experiments

Learn how to design and analyze various types of statistical experiments (e.g., full factorial, fractional factorial, custom) to discover the factors that most impact an outcome from those that have little to no effect. Compare different experimental designs to determine the one that is best for the desired objectives.

DOE Full Factorial DesignDesign a full factorial experiment.
DOE Full Factorial AnalysisAnalyze a full factorial experiment.
DOE Fractional Factorial DesignDesign a fractional factorial experiment.
DOE Fractional Factorial AnalysisAnalyze a fractional factorial experiment.

DOE Screening Experiment AnalysisAnalyze a two-level screening experiment.
DOE - Custom DesignsDesign a variety of optimal experiments.
DOE - Evaluate and Compare DesignsEvaluate and compare the properties of experimental designs.
Monte Carlo SimulationUse Monte Carlo simulation to estimate the distribution of a response variable as a function of a model fit to data and estimates of random variation.

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