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Relative error percentage is a decimal percentage between 1 and 0 such that if you multiply the actual answer by (1-errorrel) you get your approximate value. In other words relative error is an indicator of how far away your apporximation is from the real value in terms of percent of the real value.

Q: What does relative error percentage mean?

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Given a true value and the measured value,the error is measured value - true value;the relative error is (measured value - true value)/true value, andthe percentage error is 100*relative error.

The relative error measurements indicates the quality of a measurement relative to the quantity of the object being measured. To derive the relative error, divide the absolute error by the value of the object being measured.

Error is the term for the amount of difference between a value and it's approximation, and is represented by either an upper or lower case epsilon (E or ε)Eabs, absolute error, is |x-x*| where x* is the approximate of x, and gives a value that shows how far away the approximate is as a numerical valueErel, relative error, is |x-x*| / |x| and gives a value that shows how far away the approximate is as a decimal percentage i.e. if you times the relative error by 100 you get the percentage error of the approximation.

It means that, relative to the true value of whatever you are trying to measure, the estimated (or calculated) value is quite a long way off.If the real value of something is 5 but is measure as 7 the absolute error is 7 - 5 = 2, but the percentage error is 100*2/5 = 40%If the true value is 100 and it is measured as 103, the absolute error is 103 - 100 = 3 which is greater than before. But the percentage error is only 100*3/100 = 3%.

Percentage error shows how wrong an answer can be with respect to the value of the answer itself. So, we can see how serious the errors are. For example, lets say we have an answer whose mean error is 40. If nothing is given of the actual value of the answer, we cannot determine if this error is insignificant or very serious. If the actual answer was 40000, this mean error of 40 is quite insignificant as the percentage error is 40/40000 x 100 = 0.1 % 0.1 % error is quite insignificant. Mean error, on the other hand, does not help us to determine the significance of this error in any way.

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its a percent error * * * * * No, it is the relative error. When that is multiplied by 100 it becomes a percentage error.

Given a true value and the measured value,the error is measured value - true value;the relative error is (measured value - true value)/true value, andthe percentage error is 100*relative error.

The relative error measurements indicates the quality of a measurement relative to the quantity of the object being measured. To derive the relative error, divide the absolute error by the value of the object being measured.

Error is the term for the amount of difference between a value and it's approximation, and is represented by either an upper or lower case epsilon (E or ε)Eabs, absolute error, is |x-x*| where x* is the approximate of x, and gives a value that shows how far away the approximate is as a numerical valueErel, relative error, is |x-x*| / |x| and gives a value that shows how far away the approximate is as a decimal percentage i.e. if you times the relative error by 100 you get the percentage error of the approximation.

to find the percentage of the relative error

It means that, relative to the true value of whatever you are trying to measure, the estimated (or calculated) value is quite a long way off.If the real value of something is 5 but is measure as 7 the absolute error is 7 - 5 = 2, but the percentage error is 100*2/5 = 40%If the true value is 100 and it is measured as 103, the absolute error is 103 - 100 = 3 which is greater than before. But the percentage error is only 100*3/100 = 3%.

percent error

Percentage error shows how wrong an answer can be with respect to the value of the answer itself. So, we can see how serious the errors are. For example, lets say we have an answer whose mean error is 40. If nothing is given of the actual value of the answer, we cannot determine if this error is insignificant or very serious. If the actual answer was 40000, this mean error of 40 is quite insignificant as the percentage error is 40/40000 x 100 = 0.1 % 0.1 % error is quite insignificant. Mean error, on the other hand, does not help us to determine the significance of this error in any way.

The mean absolute percent prediction error (MAPE), .The summation ignores observations where yt = 0.

= absolute error/ mean value of measured quantity times 100 50/5 times 100= 1000%

0 to Infinity

I do not know 825 but RSE The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate.