What is a tool or technique used in the Control Quality process?

According to the PMBOK® Guide (6th Edition), Statistical Sampling is a primary tool and technique used in the Control Quality process. Control Quality is the process of monitoring and recording results of executing quality management activities to assess performance and ensure the project outputs are complete, correct, and meet customer expectations.

Statistical Sampling involves choosing part of a population of interest for inspection. It is used to measure the quality of deliverables without having to inspect every single item, which is particularly useful when:

The population is very large.

Inspection is time-consuming or costly.

Inspection is destructive (e.g., testing the strength of a component until it breaks).

Analysis of Distractors:

A (Attribute sampling): While " Attribute Sampling " is a method used within quality (measuring whether a result conforms or does not conform), the PMBOK® Guide lists Statistical Sampling as the broad Tool and Technique under the Control Quality process (Section 8.3.2.5). Attribute sampling is a specific data logic applied during the sampling process.

B (Parametric estimating): This is a tool and technique used in Estimate Costs and Estimate Activity Durations. It uses a statistical relationship between historical data and other variables (e.g., square footage in construction) to calculate an estimate. It is not used to verify quality.

D (Expert judgment): While expert judgment is used in many processes (including Plan Quality Management and Manage Quality), it is not listed as a primary tool and technique for the Control Quality process in the 6th Edition. Control Quality relies more heavily on data representation, inspection, and testing.