A food scientist analyzes a 2-level factorial design to determine how preservative type, vacuum packaging pressure, contamination level, and cooling temperature affect the spoilage of fruit. The response is binary-whether spoilage is detected or not-in a sample of 500 containers of fruit.
You can use this data to demonstrate Analyze Binary Response for Factorial Design.
|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 the design points are contained in a single block.|
|Preservative||The food preservative: Formula 1 or Formula 2.|
|VacuumPress||The vacuum sealing pressure: 5 or 25.|
|ContaminationLevel||The initial contamination level: 5 or 50.|
|CoolTemp||The storage cooling temperature: 10 or 20.|
|Spoilage||The number of containers of fruit that have spoilage as detected by electronic sensor.|
|Containers||The number of fruit containers that are sampled.|