JMP Design of Experiments, Release 7 by SAS Institute Inc

By SAS Institute Inc

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Extra info for JMP Design of Experiments, Release 7

Sample text

The Alias Matrix (Confounding Pattern) . . . . . . . . . . . . . . . . . . . . . Specify Output Options . . . . . . . . . . . . . . . . . . . . . . . . . . . Make the JMP Design Table . . . . . . . . . . . . . . . . . . . . . . . . . Creating Random Block Designs . . . . . . . . . . . . . . . . . . . . . . . . . Creating Split Plot Designs .

The pre-defined design that allows only a few discrete values is too restrictive. The custom designer supplies a reasonable design option. For this example, suppose there are a group of students participating in a study. A physical education researcher has proposed an experiment where you vary the number of hours of sleep and the calories for breakfast and ask each student run 1/4 mile. The weight of the student is known and it seems important to include this information in the experimental design.

Special Custom Design Commands . . . . . . . . . . . . . . . . . . . . . . . . Save Responses and Save Factors . . . . . . . . . . . . . . . . . . . . . . . . Load Responses and Load Factors . . . . . . . . . . . . . . . . . . . . . . . Save Constraints and Load Constraints . . . . . . . . . . . . . . . . . . . . . Set Random Seed: Setting the Number Generator .

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