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Analyzing Single Factor Experiment Results in JMP: A Step-by-Step Example

This guide demonstrates how to analyze a single factor experiment using JMP software. We randomly apply three treatments (A, B, and C) to nine objects and record the results. With results showing average outputs of 3.4 for A, 5 for B, and 4 for C, we explore potential differences among these treatments. By utilizing the "Fit Y by X" feature in the Analyze menu, we plot treatment effects. Further analysis is conducted through the "Mean/ANOVA" option in the Oneway Analysis, enabling in-depth insights into treatment effectiveness.

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Analyzing Single Factor Experiment Results in JMP: A Step-by-Step Example

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  1. Single Factor ExperimentJMP Example 1 Randomly apply treatments A, B and C to nine objects Results: Treatment A B C 1 2 5 5 4 4 3 6 6 Average 3 4 5 Is there a difference between the treatments?

  2. Use the “Fit Y by X” capability in Analyze to apply to the data

  3. Since Treatment is the Predictor, add it to X, Factor Pool.

  4. Since Results is the Response add it to Y, Response Pool.

  5. When both are added, click “OK”

  6. JMP will automatically give plots.

  7. Choose “Mean/Anova“ from the hotspot menu on the “Oneway Analysis of Results By Treatment”title bar to acquire further analysis.

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