Which term describes measurements that have both high precision and low bias?

The term that accurately describes measurements that exhibit both high precision and low bias is "reliable outcomes." Precision refers to the closeness of repeated measurements to one another, while bias indicates the systematic error that leads to results consistently deviating from the true value. When measurements are high in precision yet low in bias, they tend to yield consistent and trustworthy results, making them reliable.

Reliable outcomes mean that the measurements can be depended upon for decision-making processes, indicating that they accurately reflect the phenomenon being measured without significant deviation. This reliability is crucial in fields like radon measurement, where accurate and consistent data informs health and safety decisions.

The other terms do not fit this definition—"inaccurate results" imply measurements that do not reflect the true value, "invalid data" suggests that the data obtained cannot be used for its intended purpose, and "all of the above" combines these incorrect interpretations, making "reliable outcomes" the only appropriate choice.