Which of the following describes a measurement that is both precise and accurate?

The correct answer describes a scenario where the measurements not only cluster closely together (indicating precision) but also center around the true value (indicating accuracy). This means that repeated measurements yield similar results, which helps in confirming reliability, and those results are also reflective of the actual quantity being measured.

In contrast, options that suggest results can vary widely or cluster away from the true value do not support both precision and accuracy. For instance, results that average to the true value but vary significantly from each other lack precision since there's no consistency in the individual measurements. Similarly, results that are consistently high or low suggest a bias in the measurement process, indicating a lack of accuracy. Measurements that are not reproducible also cannot be deemed precise, as reproducibility is a key aspect of precision.

Overall, the correct answer emphasizes both the closeness of the results to each other and their alignment with the true value, which are essential components for a measurement to be deemed both precise and accurate.