Which data type is used by attribute sampling plans?

Which data type is used by attribute sampling plans?

• A. Quantitative measurements
• B. Defective vs non-defective decisions
• C. Numeric process capability indices
• D. Time to failure data

Answer: (B)

Attribute sampling plans rely on binary judgments for each item: defective or nondefective. This creates qualitative, yes/no data, because the decision hinges on whether an item meets the defect criterion, not on how much it deviates. The plan uses the number of defectives in a sample to decide acceptance, which fits the binomial-type data from defect/nondefect classifications. Quantitative measurements are used in variable sampling plans, where you collect actual measured values. Numeric process capability indices are calculated from those continuous measurements, not from a simple pass/fail classification. Time to failure data come from reliability/life data analysis, focusing on survival times rather than defect status.

Attribute sampling plans rely on binary judgments for each item: defective or nondefective. This creates qualitative, yes/no data, because the decision hinges on whether an item meets the defect criterion, not on how much it deviates. The plan uses the number of defectives in a sample to decide acceptance, which fits the binomial-type data from defect/nondefect classifications.

Quantitative measurements are used in variable sampling plans, where you collect actual measured values. Numeric process capability indices are calculated from those continuous measurements, not from a simple pass/fail classification. Time to failure data come from reliability/life data analysis, focusing on survival times rather than defect status.