Relative error refers to the ratio of absolute error caused by measurement to measured true value multiplied by 100%, expressed in percentage. Relative error can better reflect the reliability of measurement. Let the measured result y subtract the measured agreed true value t, and the error or absolute error is δ. The relative error can be obtained by dividing the absolute error δ by the agreed truth value t.

Relative deviation:

Relative deviation refers to the absolute deviation of the measured value as a percentage of the average value. Relative deviation can only be used to measure the degree of deviation from the average value of a single determination result.

Absolute error:

Absolute error Absolute error, the difference between the exact value X and its measured value x* is called the absolute error of the approximate value x*. In numerical calculation, it is expressed as e(x*)=x*-x, abbreviated as e*. But generally speaking, the size of e (x*) cannot be accurately known, and it can be measured or calculated.

Absolute deviation:

Absolute deviation refers to the difference between a single measured value and the average value of multiple measured values, referred to as deviation. The mathematical expression is: absolute deviation = single measurement value-arithmetic average of multiple measurements.

Extended data:

The absolute value of the difference between a divisor and its exact number is called the absolute error of this divisor. If a represents the divisor and a represents its exact number, the relative error of the divisor a is | a-a |/a.

In addition, because the true value of the measured value is unknown, its relative error cannot be accurately known. When we talk about relative error, we generally mean the limit of relative error, that is, the maximum value that can be obtained by relative error.

The ratio of the absolute value of the measurement error of the measured value to the corresponding measured value. One-dimensional quantity, usually expressed by the fraction of a molecule 1, is often used to describe the accuracy of linear quantity. When describing the accuracy of line quantity, we should consider not only the error of line quantity, but also the size of line quantity itself.

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