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.
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.
55.3
The formula for relative error is:Erel= |x-x*| / |x|, where x is the proper value, and x* an approximate value.
You need to know the measure in order to answer the question.
The ratio of an error to an accepted value is called the relative error. It is a measure of how large the error is compared to the accepted value. By expressing the error relative to the accepted value, it allows for a standardized comparison between different measurements or experiments.
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.
The relative error depends on the true value of the measurement. That information has not been provided.
= absolute error/ mean value of measured quantity times 100 50/5 times 100= 1000%
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.
55.3
The formula for relative error is:Erel= |x-x*| / |x|, where x is the proper value, and x* an approximate value.
If 56.0 is the true accepted value and 56.6 is the measured value the relative error 1,07 %.
You need to know the measure in order to answer the question.
The relative error puts the size of the error into context. An absolute error of 10, in a number whose value is 1 indicates a range of -9 to 11 for the true value. This means that telling you that the value is 1 is near enough pointless. On the other hand, an absolute error of 10 in a number whose value is 1 billion means that the true value is somewhere in the range 999,999,990 and 1,000,000,010. I suggest that the discrepancy is not significant. The relative error in the first case is 1000% and in the second, it is 1 millionth of 1%.
If 59,3 is considered the accepted true value the relative error is 1,35 %.
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.