Final answer:
Quality Metrics or QC data are used in QA processes to re-evaluate quality standards and ensure that a design's results meet established criteria and constraints, which are direct, quantifiable observations of a process. Thus, both options 1) Quality metrics and 4) QC data are correct.
Step-by-step explanation:
The results of quality control activities that are used to feed back into the Quality Assurance (QA) process for re-evaluating and analyzing quality standards and processes can be considered Quality Metrics or QC data. These results are important in order to communicate results effectively to the client or customer, ensuring that the design meets the specified criteria and constraints.
It is essential that these results are measurable or "quantifiable" and are often a direct observation of the process over time. Accurate and precise measurements are fundamental, as they are reflected in how values are rounded and interpreted.
Measurements, which are often made using a variety of units, can require conversion from one unit to another. This process is executed using unit conversion factors, which are applied by a mathematical approach called the factor-label method or dimensional analysis. This approach not only helps in unit conversion but also in calculating sought quantities using measured quantities and relevant mathematical relationships.
According to the options provided, the correct answer is both options 1) Quality metrics and 4) QC data.