Min-Run Screening Factor Information

Factors: How many two-level factors will be in the experiment?

Name: (defaults to alphabetically ascending letters) Enter a descriptive name for each factor.

Units: (optional) Enter the units of measure for each factor.

Type:

Numeric Factors: Defines a range for the factor settings. Any value between the low and high level is available for the experiment. Numeric factors allow center points to be added to the design.

Categoric Factors: This type of factor is one that simply uses names or classes to describe the levels. For instance, peanut butter types (Creamy vs. Chunky).

Low: For a numeric type, the minimum setting for the factor. For categoric type, the arbitrary low setting.

High: For a numeric type, the maximum setting for the factor. For categoric type, the arbitrary high setting.

Minimum runs plus 2: (bottom) Creates a design with two extra runs allowing any one run to be botched but still give good estimates of all the main effects. Selecting Minimum runs takes away the safety net. Any lost runs will botch the entire design.

Center Points: (bottom) Enter the number of center points for detecting curvature.