It is precision.
Close measurement refers to the degree of agreement or consistency between multiple measurements of the same quantity. When measurements are close to each other, it indicates high precision, suggesting that the measurement process is reliable and repeatable. This is often assessed using statistical methods, such as calculating the standard deviation, which quantifies the variability among the measurements. In contrast, large discrepancies among measurements signal low precision and may indicate errors in the measurement process or instrument.
The closeness of a set of measurements with each other is called precision. Precision refers to the degree to which repeated measurements under unchanged conditions show the same results. It indicates the consistency and reliability of the measurements, regardless of whether they are close to the true value (which relates to accuracy).
Precision refers to the consistency and repeatability of measurements or results. It indicates how close multiple measurements or data points are to each other, regardless of whether they are close to the true value. High precision means that the results are tightly grouped, while low precision indicates greater variability among the measurements.
A gauge of how exact a measurement is typically referred to as its "precision." Precision indicates the degree of consistency and reproducibility of measurements, reflecting how close multiple measurements are to each other. It is important to differentiate precision from accuracy, which measures how close a measurement is to the true or accepted value. High precision means that repeated measurements yield similar results, even if those results are not close to the true value.
The repeatability or consistency of a series of measurements is referred to as "precision." Precision indicates how close the measurements are to each other, regardless of whether they are close to the true value. High precision means that repeated measurements yield similar results, while low precision indicates significant variability among them. It is an essential characteristic in scientific experiments and quality control processes.
Precision refers to how close a group of measurements of the same parameter are to each other. It indicates the consistency and reproducibility of the results obtained.
Estimate
If two measurements are very close to each other, then they are considered to be in close agreement or have high precision. This indicates that the measurements are consistent and reliable, with minimal variability between them.
The closeness of measurements to each other is referred to as precision. In other words, precision indicates the degree of consistency between individual measurements.
the reproducibility refers to how close a group of measurements are to each other
Accuracy refers to how close a measurement is to the true or accepted value, while precision refers to how close repeated measurements are to each other. High accuracy means that a measurement is very close to the true value, while high precision indicates that repeated measurements are consistent and close to each other.
When two measurements are close to each other, it is called precision. It indicates the level of consistency and repeatability in a set of measurements.
Precision describes how close repeated measurements are to each other. It reflects the consistency and reproducibility of a measurement. A high precision indicates that the measurements are tightly grouped around the true value.
The description of how similar or close measurements are to each other is called precision. It refers to the consistency or reproducibility of the results obtained from repeated measurements.
The measure of how close measurements are to each other is called precision. Precision reflects the level of agreement between repeated measurements of the same quantity, indicating the reproducibility of results. High precision means that measurements are very close to each other, while low precision indicates greater variability between measurements.
Precision describes how close measurements are to each other. It indicates the level of consistency and repeatability in a set of measurements. The more precise the measurements, the closer they are to each other.
Accuracy refers to how close the measured value is to the true value, while precision refers to how close the measured values are to each other. A measurement that is both accurate and precise will be close to the true value and have very little variation among repeated measurements. Accuracy can be evaluated by comparing the measured value to a known standard, while precision can be assessed by determining the consistency of repeated measurements.