Q: What sources of error would account in measurement of the same thing?

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Absolute and Relative Error Absolute and relative error are two types of error with which every experimental scientist should be familiar. The differences are important. Absolute Error: Absolute error is the amount of physical error in a measurement, period. Let's say a meter stick is used to measure a given distance. The error is rather hastily made, but it is good to ±1mm. This is the absolute error of the measurement. That is, absolute error = ±1mm (0.001m). In terms common to Error Propagation absolute error = Δx where x is any variable. Relative Error: Relative error gives an indication of how good a measurement is relative to the size of the thing being measured. Let's say that two students measure two objects with a meter stick. One student measures the height of a room and gets a value of 3.215 meters ±1mm (0.001m). Another student measures the height of a small cylinder and measures 0.075 meters ±1mm (0.001m). Clearly, the overall accuracy of the ceiling height is much better than that of the 7.5 cm cylinder. The comparative accuracy of these measurements can be determined by looking at their relative errors. relative error = absolute error value of thing measured or in terms common to Error Propagation relative error = Δx x where x is any variable. Now, in our example, relative errorceiling height = 0.001m 3.125m •100 = 0.0003% relativeerrorcylinder height = 0.001m 0.075m •100 = 0.01% Clearly, the relative error in the ceiling height is considerably smaller than the relative error in the cylinder height even though the amount of absolute error is the same in each case.

This question makes no sense. An absolute measurement cannot approach anything as it is just one measurement that measures the exact thing that it is measuring.

they are the same thing.

Minutes are a measurement of time. Miles are a measurement of distance. As they are not measuring the same thing one can not be converted into the other!

Yes, but it shouldn't be capitalized. It's not a common unit of measurement.

Related questions

You might measure wrong the second time

You might measure wrong the second time

Repeated measurements of an experiment is one way of improving the result - or at least of improving the reliability of the result. Experimental error is a real thing. The reliability of an answer will go up as the square root of the measurements. Sources of error are assumed to be non-systemic. That is , they are not an inevitable part of the measurement. For example, if your reference masses are in error, then all weighings using that reference mass will be in error. Another method of gaining greater reliability in the result, is to have the measurement made by different experimental methods, and using different experimenters.

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Debugging and error handling are the same thing. true

Error refers to the difference between a measured value and the true value, while uncertainty is a measure of the range within which the true value is likely to lie. Error quantifies the deviation from the true value, while uncertainty quantifies the level of confidence in the measurement.

Absolute and Relative Error Absolute and relative error are two types of error with which every experimental scientist should be familiar. The differences are important. Absolute Error: Absolute error is the amount of physical error in a measurement, period. Let's say a meter stick is used to measure a given distance. The error is rather hastily made, but it is good to ±1mm. This is the absolute error of the measurement. That is, absolute error = ±1mm (0.001m). In terms common to Error Propagation absolute error = Δx where x is any variable. Relative Error: Relative error gives an indication of how good a measurement is relative to the size of the thing being measured. Let's say that two students measure two objects with a meter stick. One student measures the height of a room and gets a value of 3.215 meters ±1mm (0.001m). Another student measures the height of a small cylinder and measures 0.075 meters ±1mm (0.001m). Clearly, the overall accuracy of the ceiling height is much better than that of the 7.5 cm cylinder. The comparative accuracy of these measurements can be determined by looking at their relative errors. relative error = absolute error value of thing measured or in terms common to Error Propagation relative error = Δx x where x is any variable. Now, in our example, relative errorceiling height = 0.001m 3.125m •100 = 0.0003% relativeerrorcylinder height = 0.001m 0.075m •100 = 0.01% Clearly, the relative error in the ceiling height is considerably smaller than the relative error in the cylinder height even though the amount of absolute error is the same in each case.

It really depends on the type of experiment performed. But in any given experiment, there could be hundreds of variables that, when inadvertently changed, can affect the results. __________________________________________________________________ Laboratory mice are similar but not identical to each other.

Operator error.

No such thing!

no watt is a measurement of power where as if you meant joule that is a measurement of energy which are not the same thing

This question makes no sense. An absolute measurement cannot approach anything as it is just one measurement that measures the exact thing that it is measuring.