Which types of errors can be minimized by a QA program?

A Quality Assurance (QA) program is designed to establish consistent processes and standards throughout various stages of analysis and testing. It helps minimize errors by ensuring that well-defined procedures are followed and that any deviations are recorded and addressed.

When it comes to improper sampling methodology, a QA program can implement standardized protocols for how samples are collected, stored, and handled. This includes training personnel on best practices to reduce variability and ensure that the samples represent the population accurately. By following these established methods, the likelihood of errors stemming from improper sampling techniques is greatly reduced.

While the other types of errors listed can also be mitigated through various practices, they are often not directly targeted by a QA program in the same way that sampling methodology is. For example, contamination control and equipment maintenance may involve specific protocols but are typically under the umbrella of quality assurance rather than the direct focus of methodology standards. Subjective interpretations are often addressed through training and clear criteria but are harder to standardize fully, as they rely on individual judgment. Thus, while all aspects of quality can improve, the specific focus of the QA program on minimizing errors due to improper sampling methodology stands out as a crucial aspect.