A materials scientist has determined four factors that explain much of the variability in the rate of crystal growth. The scientist designs a central composite response surface experiment to define the optimal conditions for crystal growth. After creating the design, the scientist determines that available resources restrict the number of design points that can be included to 20.
You can use the crystal growth design to demonstrate Select Optimal Design (D-optimality option) for response surface. You can use the crystal growth optimal design to demonstrate Select Optimal Design (Augment/Improve design and Evaluate Design options) for response surface.
|StdOrder||The order of the runs in standard order (also called Yates order).|
|RunOrder||The order of the runs in random order.|
|PtType||The point type: 0 = center point, 1 = corner point, -1 = axial point.|
|Blocks||The blocks. This design has 2 blocks which represent the days that the scientist needs for 30 runs.|
|A||Factor A: the time that crystals are exposed to a catalyst.|
|B||Factor B: the temperature in the exposure chamber.|
|C||Factor C: the pressure in the exposure chamber.|
|D||Factor D: the percentage of the catalyst in the air.|
|OptPoint||The optimal design point indicator: 1 = the points in the optimal design, 0 = the points not included in the optimal design (in Crystal growth optimal design data set only).|