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.
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brifly explain about the absolute error?
55.3
The mean absolute percent prediction error (MAPE), .The summation ignores observations where yt = 0.
If the true value is t and the calculated or measured value is v then absolute error = |v - t|, the absolute value of (v - t).If v >= t then the absolute value is v - tif v
If you use n terms from the Taylor expansion, the absolute value of the error is less than [|x|^(2n+1)]/(2n+1)!If you use n terms from the Taylor expansion, the absolute value of the error is less than [|x|^(2n+1)]/(2n+1)!If you use n terms from the Taylor expansion, the absolute value of the error is less than [|x|^(2n+1)]/(2n+1)!If you use n terms from the Taylor expansion, the absolute value of the error is less than [|x|^(2n+1)]/(2n+1)!