The QA procedure that permits inspection of only some representative examples of a product is called

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Multiple Choice

The QA procedure that permits inspection of only some representative examples of a product is called

Explanation:
Statistical sampling is the QA practice of inspecting a representative subset of items to infer the quality of the entire product lot. By choosing a random sample according to a predefined sampling plan, you can decide to accept or reject the batch with a known level of confidence, defined by the acceptable quality level (AQL). This approach reduces time and cost compared to checking every item, while still providing a reliable basis for decisions about quality. The other ideas don’t fit as well: inspecting every item is 100% inspection, not sampling; sequential sampling is a specific method within sampling where the sample size progresses based on results and isn’t the general term for inspecting a subset; selective sampling isn’t a standard QA term for this practice.

Statistical sampling is the QA practice of inspecting a representative subset of items to infer the quality of the entire product lot. By choosing a random sample according to a predefined sampling plan, you can decide to accept or reject the batch with a known level of confidence, defined by the acceptable quality level (AQL). This approach reduces time and cost compared to checking every item, while still providing a reliable basis for decisions about quality.

The other ideas don’t fit as well: inspecting every item is 100% inspection, not sampling; sequential sampling is a specific method within sampling where the sample size progresses based on results and isn’t the general term for inspecting a subset; selective sampling isn’t a standard QA term for this practice.

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