Binomial data are classified into one of two categories such as pass/fail or go/no-go. Binomial data are often used to calculate a proportion or a percentage, such as the percentage of sampled parts that are defective.
Poisson data are often used to model an occurrence rate, such as defects per unit.
Binomial data are classified into one of two categories such as pass/fail or go/no-go. Binomial data are often used to calculate a proportion or a percentage, such as the percentage of sampled parts that are defective.
If you have a particular defective type that you want to monitor on its own control chart, you must set it up as a defective measure.
The Labeling and packaging process has two defective measures to monitor on separate control charts.
If you have multiple defective types that you want to monitor together, aggregated on a single control chart, you must set it up as a grouped defective.
The Inspection process has several types of defectives to monitor together on a single control chart.