Factors and Levels

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Factors Fill in your factor names. The number of factors can be between 1 and 10.

Levels
No factors added. Add at least one factor before adding levels. Fill in levels for your factor. Each factor can have 2 or 3 levels.

Add at least two levels to each factor. Avoid duplicating levels within a factor. Remove special characters from the levels.


DoE Table

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Please complete the 'Factors and Levels' tab.



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Screening Design Settings

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Please complete the 'Factors and Levels' tab.
Choose the method for generating the Design of Experiment table. Screening Design utilizes 2-level methods (no curvature). The list of methods is dynamic. Options vary depending on the number of factors and leves.

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Response Surface Design Settings

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Please complete the 'Factors and Levels' tab.
Choose the method for generating the Design of Experiment table. Response Surface Design utilizes 3-level methods (with curvature). The list of methods is dynamic. Options vary depending on the number of factors and leves.



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Factor Analysis

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Regresson Model

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Optimization

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Quick Guide


The Experimental Design Online application is a part of SCANBA’s educational programs. For technical support and suggestions, please contact SCANBA. The application is free to use and does does not store or record any data.
1. Factors and Levels

Enter your experimental design variable names (factors) and values (levels). Examples of factors are ‘color’, ‘size’, ‘shape’, etc. Examples of levels are ‘red’ and ‘blue’ for ‘color’; 10, 20, 30 for ‘size’; ‘square’ and ‘round’ for 'shape'.


2. DoE Table

Select the number of measured responses and DoE types. Enter your responses into the DoE table. Use the ‘Settings’ button to set up the particular design.


3. Factor Analysis

Study the effect size for each factor and response breakdown.


4. Regression Model

Select the regression model and run the regression analysis by pressing the ‘Run’ button. Study the regression analysis outputs.


5. Optimization

Use the buttons to find factor levels for minimum and maximum possible responses. Use sliders to fine-tune the response values.




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