False
False
False
False, that's precision.
precision
The measure of how consistently a result is determined by repeated evaluations is called reliability. It assesses the dependability and stability of a measurement tool in producing consistent results over time.
precision
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The ability of a measurement to be reproduced consistently is called reliability. It refers to the degree to which the measurement yields similar results when repeated under the same conditions. Reliability is crucial for ensuring the accuracy and validity of research findings.
Accuracy refers to how close a measured value is to the true value, while precision refers to the consistency of repeated measurements. In other words, accuracy is related to correctness, while precision is related to repeatability. A measurement can be precise but not accurate if the values are consistently off by a certain amount, and it can be accurate but not precise if the values vary widely with each measurement.
Poor precision. Precision refers to the consistency of repeated measurements, while accuracy refers to how close a measurement is to the true value. If a speedometer consistently shows a speed that is off by a fixed amount from the actual speed (e.g., always reads 5 mph higher), it has poor accuracy. If it fluctuates widely even for the same speed, it has poor precision.
Precision refers to how closely individual measurements agree with each other, regardless of their accuracy. It is a measure of the reproducibility and consistency of results obtained from repeated measurements.
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. A measurement can be precise but not accurate if it consistently misses the true value by the same amount. Conversely, a measurement can be accurate but not precise if the measurements are spread out but centered around the true value.