Which form of sampling is commonly used for acceptance testing?

Acceptance testing is a quality control method used to determine whether a batch of products meets predefined standards and is suitable for release. Attributes sampling is specifically designed for this purpose, as it focuses on the presence or absence of certain characteristics within a sample.

In attributes sampling, each item in the sample is classified as either conforming or non-conforming based on specific criteria. This binary approach makes it particularly effective for acceptance testing, as it allows for straightforward decisions regarding the acceptance or rejection of a lot based on the number of defective items found in the sample.

Other forms of sampling, such as sequential sampling, systematic sampling, and variables sampling, are typically used for different quality control purposes. Sequential sampling involves taking samples in a sequence until a decision can be made, which may not be practical for acceptance testing. Systematic sampling selects elements based on a fixed interval, which might not address the specific needs of quality verification effectively. Variables sampling focuses on measuring the degree to which a product meets certain specifications, rather than simply classifying items as acceptable or unacceptable, which is the fundamental requirement in acceptance testing.

Thus, attributes sampling is the most suitable method for acceptance testing because its design aligns directly with the goal of determining whether a batch of products meets quality standards in