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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.
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.
It is measured in Kelvin.
It is measured in grams.
Energy is measured in joules.Energy is measured in joules.Energy is measured in joules.Energy is measured in joules.
False
Precision -- the degree to which the result of a measurement, calculation, or specification conforms to the correct value or a standard
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.
This value is variable, for each type of measurement.
Definition of Precision: Referring to how close a group of measurements are to each other. Accuracy: Refers to how close the measurement is to the true or accepted value. If the volume of the water was 20 L and I measured it wrong one and got 19, measured it again and got 19, and then measured it a third time and got 19, that would be a PRECISE measurement, since you got the same result three times in a row. It's INACCURATE because it isn't the CORRECT measurement. Hope that helped!
To check the precision of an instrument its apparent measurement must be compared to a known measurement. The difference between the measured quantity divided by the known quantity is expressed as a % precision of the instrument, or calibration. Most instruments when being calibrated are tested against multiple known quantities throughout the range of the instrument. Thus the precision of the instrument is determined throughout it's full range of measurement.
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}.
It's signature figures
Accuracy describes the correlation between the measured value and the accepted value. The accuracy of a measurement, or set of measurements, can be expressed in terms of error: The larger the error is, the less accurate is the measurement. Precisiondescribes the reproducibility of a measurement. To evaluate the precision of a set of measurements, start by finding the deviation of each individual measurement in the set from the average of all the measurements in the set: Note that deviation is always positive because the vertical lines in the formula represent absolute value. The average of all the deviations in the set is called the average deviation. The larger the average deviation is, the less precise is the data set.
The answer will depend on the precision of the measurement. The fact that the answer is given to 2 decimal places does not imply that the measurement is accurate to 2 dp. It could have been measured using an instrument accurate to 0.02 units.
Percent error is calculated by the measured value and the acceped value. For example, if you measure a piece of paper and decide it is 8.45in long, that is your measured value. The package says it is 8.5in long, so it is the accepted value. The formula for percent error is |measured value - accepted value| divided by accepted value ALL times 100.
inaccurate calibration insufficient control of the independent variable poor measurement techniques difficulties in reading measurements (low light, vibration, etc.) insufficient precision in measurement ambiguities in what is being measured measurement bias question bias failure to control other important variables that are not being measured (in the case of electronic measurements) interference or static