A quality engineer for a building products manufacturer is developing a new insulation product. The engineer designs a 2-level full factorial experiment to study the effects of several factors on the variability in insulation strength. While conducting the strength experiment, the engineer decides to collect extra samples to examine the effects of the factors on the variability in insulation strength. The engineer collects six repeat measurements of strength at each combination of factor settings and calculates the standard deviation of the repeats.
You can use this data to demonstrate Analyze Variability.
Worksheet column | Description |
---|---|
StdOrder | The order of the runs in standard order (also called Yates order). |
RunOrder | The order of the runs in random order. |
CenterPt | The center points. This design has no center points. |
Blocks | The blocks. In this design, all of the design points are contained in a single block. |
Material | The material type: Formula1 or Formula2 (factor). |
InjPress | The injection pressure: 75 or 150 (factor). |
InjTemp | The injection temperature: 85 or 100 (factor). |
CoolTemp | The cooling temperature: 25 or 45 (factor). |
Strength_1 | The strength measurements of the insulation samples from the first run of the experiment (response). |
Strength_2 | The strength measurements of the insulation samples from the second run of the experiment (response). |
Strength_3 | The strength measurements of the insulation samples from the third run of the experiment (response). |
Strength_4 | The strength measurements of the insulation samples from the fourth run of the experiment (response). |
Strength_5 | The strength measurements of the insulation samples from the fifth run of the experiment (response). |
Strength_6 | The strength measurements of the insulation samples from the sixth run of the experiment (response). |
Std | The standard deviation for each run. |
N | The number of repeat samples that use the same factor settings for each run. |