A measurement that has a larger number of significant figures has a greater reproducibility, or precision because it has a smaller source of error in the estimated digit. A value with a greater number of significant figures is not necessarily more accurate than a measured value with less significant figures, only more precise. For example, a measured value of 1.5422 m was obtained using a more precise measuring tool, while a value of 1.2 m was obtained using a less precise measuring tool. If the actual value of the measured object was 1.19 m, the measurement obtained from the less precise measuring tool would be more accurate.
69 and get a life 69 and get a life
It makes the calculation more accurate.
precision
Generally, this term is called ACCURACY.
the answer is you have to use the right instrument on somthing to get the right answer
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I would assume that with am increase in precision there would be an increase in accuracy and less variables. Therefore I would say that there would be a decrease in uncertainty. The more attention to detail the less chance for mistakes.
Precision of a measurement represents the numerical values which represent the dimensions of the instrument measured more accurately.Precised values are nearer t accuracy with negligible error.
If the measurement was of such precision that the zero to the right of the 3 could be measured with accuracy, then it has two significant digits {30}.
Reliability!
Precision is how close your measurements are. Accuracy is how close your measurements are to the actual measurement.
The term accuracy describes how far your observation/measurement is from the correct result. Precision describes how repeatable your results are, regardless of their accuracy..
accuracy
precision and accuracy
Imagine a dartboard. An accurate measurement would be analogous to hitting the bulls-eye. While a precise measurement is just the tight clustering of shots.
No, it is not true. They reflect the precision of the number in the context of its use. If required to calculate the population density of Greater London in 2011, I would use the population in millions - not because that is the limit of the accuracy of the census results but because greater accuracy does not add significant value to the precision of the population density.
Accuracy is a measure of how close to an absolute standard a measurement is made, while precision is a measure of the resolution of the measurement. Accuracy is calibration, and inaccuracy is systematic error. Precision, again, is resolution, and is a source of random error.
It's signature figures
Precision and accuracy do not mean the same thing in science. Precision refers to how well experimental data and values agree with each other in multiple tests. Accuracy refers to the correctness of a single measurement. It is determined by comparing the measurement against the true or accepted value.