precizia

Precizia is the degree to which repeated measurements under unchanged conditions yield the same result. It describes the dispersion of measurements rather than their closeness to the true value. A measurement can be precise without being accurate if it is consistently biased. In everyday use, precizia often refers to how finely a value or estimate is determined, but in scientific contexts it has a formal meaning in metrology.

In metrology, precision is linked to the concept of repeatability and reproducibility. Repeatability is the variation observed when the same operator uses the same equipment under the same conditions; reproducibility extends to variations across different conditions. Precision is quantified by statistical measures such as standard deviation, variance, or the coefficient of variation. Instruments with high precision show little scatter in repeated readings, while high accuracy is about closeness to the true value.

Outside measurement, the term also appears in computing and statistics. In computing, precision refers to the number of digits or bits used to represent a number (for example, single, double precision). In statistics, precision is the inverse of variance, reflecting the certainty of an estimate. In information retrieval and classification, precision denotes the proportion of retrieved items that are relevant.

Romanian use of precizia aligns with these meanings, and the term is common in science, engineering, education, and quality control. See also accuracy, uncertainty, error analysis, repeatability, reproducibility.