A materials engineer at a plastic manufacturing company wants to increase the tensile strength of a plastic product. The engineer identifies several factors to evaluate as possible contributors to tensile strength, including processing temperature, additive, agitation rate, and processing time. Because the temperature of the processing oven is difficult to change, the engineer designs a split-plot full factorial experiment so that the temperature is held constant while the other factors vary for each temperature setting.
You can use this data to demonstrate Analyze Factorial Design for a split-plot design.
|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. This design has only corner points (1).|
|Blocks||The blocks. In this design, all the design points are contained in a single block.|
|WP||The whole plot indicator: 1, 2, 3, or 4.|
|Temp[HTC]||The temperature: -1 or 1 (hard-to-change factor).|
|Add||The additive percent: -1 or 1 (factor).|
|Rate||The agitation rate: -1 or 1 (factor).|
|Time||The processing time: -1 or 1 (factor).|
|Strength||The strength of the plastic (response).|