Approximation
accuracy
It means to guess at something. An imprecise amount or measurement.
It tells you how much variability there is in the data. A small standard deviation (SD) shows that the data are all very close to the mean whereas a large SD indicates a lot of variability around the mean. Of course, the variability, as measured by the SD, can be reduced simply by using a larger measurement scale!
Precision and accuracy are two ways that scientists think about error. Accuracy refers to how close a measurement is to the true or accepted value. Precision refers to how close measurements of the same item are to each other. Precision is independent of accuracy.
Pretty close to zero. Not trying to harsh your mellow, man, just being realistic.
Accuracy of measurement refers to how close a measured value is to the true or accepted value of the quantity being measured. It reflects the degree of precision and correctness of the measuring instrument or method used. Accuracy is often expressed as a percentage error or deviation from the true value.
False
Accuracy
The accuracy of a measurement is determined by how close the measured value is to the true value of the quantity being measured. Factors that can affect accuracy include the precision of the measuring instrument, the skill of the person taking the measurement, and any systematic errors or biases in the measurement process.
The accuracy of a measurement does not depend on the weight being measured. Instead, accuracy is a measure of how close a measured value is to the true or expected value. To determine the accuracy of a measurement in pounds, you would need to compare the measured weight of 20570 pounds to the actual weight or reference standard.
Accuracy :D
A measured quantity is said to have good accuracy if it is close to the true value or target value that is being measured. This means that there is minimal systematic error or bias in the measurement.
Measure meant close to the true size refers to the accuracy of a measurement in relation to the actual or true size of an object or quantity being measured. This means that the measured value closely corresponds to the real value without significant errors or discrepancies. It indicates the precision and reliability of the measurement process.
This value is variable, for each type of measurement.
Precision is a measure of how close repeated measurements are to each other. It does not take into account how close the average of those measurements is to the true or accepted value. Accuracy, on the other hand, is a measure of how close a measurement is to the true or accepted value.
The term you're looking for is "precision." Precision refers to the consistency of repeated measurements, indicating how close the measurements are to each other. It is distinct from "accuracy," which reflects how close a measurement is to the true or accepted value. Together, precision and accuracy are essential for evaluating the quality of a measurement.
Repeated measurements that are close to one another demonstrate high precision and reliability of the measurement process. This suggests that the measurements are consistent and provide an accurate representation of the quantity being measured.