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Central Composite Designs: Data Tab

After you build a central composite design, the Data tab will include a test plan with Response columns for entering response data. An example plan with the default columns shown is displayed next.

Each cell in the last column is used to record the response value obtained at the combination of factor settings (green columns) specified in the current row.

All of the available columns for central composite designs are described in more detail below. To hide/show columns, use the Visible Columns window.

Tip: If you need to use a non-randomized order in an actual experiment, you can sort the design by clicking a cell in the column you wish to sort by and choosing Sheet > Sheet Actions > Sort > [Order]. For example, if changing levels in a randomized experiment would be too expensive, you can sort the design table by factor levels.

Factor levels can be displayed as the actual values assigned in the factor properties or as coded values. To switch between coded and actual values, choose Data > Display > [Value Type]. For example, the "Temperature" factor in the central composite design shown above was tested at an actual low value of 170 and an actual high value of 180, with a center point value of 175 and axial point values of approximately 167.929 and 182.071. When you use coded values for central composite designs, the low level will be represented as "-1" and the high level will be represented as "1." The center point value will be represented as "0." The axial point values will be represented as -α and α (in this case, approximately -1.414 and 1.414).

If your design includes only one observation per test run, the following columns will be available:

Each column contains a check box in the column heading that specifies whether the response will be included in the analysis. If a column is selected, the color of the check box border will indicate the status of that response's analysis. A green border indicates that the response has been analyzed using the current analysis settings; a red border indicates that it has not. Note that if you clear the check box, you will not be able to specify analysis settings for the response, nor will you be able to display it in plots or use it in optimization.

If your design includes multiple measurements per test run, the following columns will be available:

 

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