Food spoilage data

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.

Worksheet column Description
StdRfolge The order of the runs in standard order (also called Yates order).
DlaufRfolg The order of the runs in random order.
ZtrlPunkt The center points. This design has no center points.
Blöcke The blocks. In this design, all the design points are contained in a single block.
Konservierungsmittel The food preservative: Formula 1 or Formula 2.
Vakuumdruck The vacuum sealing pressure: 5 or 25.
Verunreinigungsgrad The initial contamination level: 5 or 50.
KühlTemp The storage cooling temperature: 10 or 20.
Verderben The number of containers of fruit that have spoilage as detected by electronic sensor.
Gebinde The number of fruit containers that are sampled.
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