Which of the following is NOT a characteristic of precision in measurement?

Precision in measurement refers to the degree to which repeated measurements under unchanged conditions show the same results. It is fundamentally about consistency and the ability to achieve similar results across multiple trials or reproductions.

The first characteristic, consistency of measurements, directly aligns with the definition of precision, as it emphasizes that measurements yield similar values every time they are taken. Reproducibility of results is also a key attribute of precision, as it indicates that different observers, using the same method, should obtain close to the same results. Variability within batches deals with the extent to which results can fluctuate within a single group of measurements, which is related to precision as it reflects how tightly clustered the measurements are.

In contrast, accuracy of results pertains to how close the measured value is to the true or accepted value. While accuracy is an essential aspect of measurement, it is not a component of precision. This distinction is crucial because one can have high precision (consistent measurements) with low accuracy (measurements consistently off from the true value), and vice versa. Hence, identifying accuracy as not being a characteristic of precision aligns correctly with the definition and understanding of these concepts in measurement science.