Use the summary of the design to examine the key design properties. Most properties of the design match selections that you made for the base design during design creation. The total runs are greater than the base runs when the design has multiple replicates. Each replicate adds runs equal to the number of runs in the base design.
Factors: | 8 | Replicates: | 2 |
---|---|---|---|
Base runs: | 17 | Total runs: | 34 |
Base blocks: | 1 | Total blocks: | 1 |
Center points: | 2 |
When you create your design, Minitab stores the design information in the worksheet. Minitab includes columns for standard order (StdOrder), run order (RunOrder), point type (PtType), blocks (Blocks), and a column for each factor. For more information, go to How Minitab stores design information in the worksheet.
You can use the worksheet to guide your experiment because it lists the factor settings for each experimental run and, if you randomized the design, the order in which you should perform the runs. If you didn't randomize the design, you can do that with Modify Design. Before you perform the experiment, you should name one or more columns in the worksheet for the response data. After you enter the response data, you can use Analyze Screening Design to analyze the design.
For example, this worksheet shows a design with 4 factors, Temp, Time, Material, and Pressure. The first row in the worksheet contains the first experimental run, where temperature is set to 100, the time is set to 5, formula 1 is used, and the pressure is set to 75. After this run is performed, the measurement for strength can be entered into the worksheet.
C1 | C2 | C3 | C4 | C5 | C6 | C7-T | C8 | C9 |
---|---|---|---|---|---|---|---|---|
StdOrder | RunOrder | PtType | Blocks | Temp | Time | Material | Pressure | Strength |
6 | 1 | 1 | 1 | 100 | 5 | Formula1 | 75 | |
2 | 2 | 1 | 1 | 200 | 10 | Formula2 | 150 | |
9 | 3 | 0 | 1 | 150 | 7.5 | Formula2 | 112.5 | |
5 | 4 | 1 | 1 | 200 | 10 | Formula1 | 75 | |
1 | 5 | 1 | 1 | 200 | 5 | Formula1 | 150 |
For more information, go to Checklist of pre-experiment activities.