Ponovljivost

Ponovljivost refers to the degree of agreement among individual test results when the same method is applied repeatedly to multiple samplings of a homogeneous sample. It is a measure of the random error inherent in a measurement process under the same conditions. High ponovljivost indicates that repeated measurements will yield very similar results, suggesting a stable and precise method. Conversely, low ponovljivost implies a high degree of variability between measurements, pointing to significant random errors.

This concept is crucial in various scientific and industrial fields, including chemistry, manufacturing, and quality control. When an analytical method is described as having good ponovljivost, it means that if a laboratory performs the same test multiple times on the same sample, they can expect to obtain results that are close to each other. This is distinct from accuracy, which is the closeness of a measurement to the true value. A method can be highly ponovljiv but inaccurate, meaning it consistently produces the same wrong result.

Factors influencing ponovljivost include the precision of the measuring instruments, the stability of the method's parameters, and the skill of the operator. Statistical methods are used to quantify ponovljivost, often expressed as a standard deviation or a related metric. Understanding and controlling ponovljivost is essential for ensuring the reliability and comparability of data generated by a particular testing procedure.