Measurement is a major part of scientific calculations. Completely accurate measurement results are absolutely rare. While measuring different parameters, slight errors are common. There are different types of errors, which cause differences in measurement. All the errors can be expressed in mathematical equations. By knowing the errors, we can calculate correctly and find out ways to correct the errors. There are mainly two types of errors â€“ absolute and relative error. In this article, we are going to define absolute error and relative error. Here, we are giving explanations, formulas, and examples of absolute error and relative error along with the definition. The concept of error calculation is essential in measurement.Â
Absolute error is defined as the difference between the actual value and the measured value of a quantity. The importance of absolute error depends on the quantity that we are measuring. If the quantity is large such as road distance, a small error in centimeters is negligible. While measuring the length of a machine part an error in centimeter is considerable. Though the errors in both cases are in centimeters, the error in the second case is more important.
The absolute error is calculated by the subtraction of the actual value and the measured value of a quantity. If the actual value is x0 and the measured value is x, the absolute error is expressed as,
âˆ†x = x0-x
Here, âˆ†x is the absolute error.
Here, we are giving an example of absolute error in real life. Suppose, we are measuring the length of an eraser. The actual length is 35 mm and the measured length is 34.13 mm.Â
So, The Absolute Error = Actual Length - Measured Length
= (35-34.13) mmÂ
= 0.87 mm
The ratio of absolute error of the measurement and the actual value is called relative error. By calculating the relative error, we can have an idea of how good the measurement is compared to the actual size. From the relative error, we can determine the magnitude of absolute error. If the actual value is not available, the relative error can be calculated in terms of the measured value of the quantity. The relative error is dimensionless and it has no unit. It is written in percentage by multiplying it by 100.
The relative error is calculated by the ratio of absolute error and the actual value of the quantity. If the absolute error of the measurement is âˆ†x, the actual value is x0, the measured value is x, the relative error is expressed as,Â Â
Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â xr = (x0-x)/ x0 = âˆ†x/ x0
Here, xr is the relative error.
Here, we are giving an example of relative error in real life. Suppose, the actual length of an eraser is 35 mm. Now, the absolute error = (35-34.13) mm = 0.87 mm.
So, the relative error = absolute error/actual length
Â Â Â Â Â Â = 0.87/35
Â Â Â Â Â Â = 0.02485
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Numerical analysis of error calculation is a vital part of the measurement. This analysis finds the actual value and the error quantity. The absolute error determines how good or bad the measurement is. In numerical calculation, the errors are caused by round-off error or truncation error.
1. Find the absolute and relative errors. The actual value is 125.68 mm and the measured value is 119.66 mm.
Solution :
Absolute Error = |125.68 â€“ 119.66| mm
Â Â Â Â Â Â Â = 6.02 mm
Relative Error = |125.68 â€“ 119.66| / 125.68
Â Â Â Â Â Â = 0.0478
2. Find out the absolute and relative errors, where the actual and measured values are 252.14 mm and 249.02 mm.
Solution:
Absolute Error = |252.14 â€“ 249.02| mm
Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â = 3.12 mm
Relatives Error = 3.12/252.14
Â = 0.0123
In different measurements, the quantity is measured more than one time to get an average value of the quantity. Mean absolute error is one of the most important terms in this kind of measurement. The average of all the absolute errors of the collected data is called the MAE ( Mean Absolute Error). It is calculated by dividing the sum of absolute errors by the number of errors. The formula of MAE is â€“
MAE = \[\frac{\sum_{i=1}^{n}\left | x_{0}-x \right |}{n}\]
Here, n is the number of errors, x0 is the actual value, x is the measured value, and |x0-x| is the absolute error.
1. What are the differences between Absolute error and Relative Error?
Ans: Absolute and relative error are two main types of measurement errors. There are some major differences between these two, which are given below.
Subject | Absolute Error | Relative Error |
Definition | The difference between the actual value and the measured value of a quantity is called absolute error. | The ratio of absolute error of a measurement and the actual value of the quantity is known as a relative error.Â |
Determination | It determines how large the error is. | It determines how good or bad the error is.Â |
Size of the quantity | It varies depending on the size of the quantity. | It doesn't depend on the size of the quantity.Â |
2. Define Absolute Error and Relative Error and Explain with an Example.
Ans: In measurement, two types of errors are absolute error and relative error. The difference between the actual value and the measured value of a quantity is called absolute error. The ratio of absolute error and the actual value is called the relative error. If the actual value is x0, measured value is x, the absolute value, âˆ†x = |x0-x|. The relative value is expressed as xr = âˆ†x / x_{0}. Now, we are giving an example to explain the absolute and relative error. The actual value and measured value of a quantity are 135.31 mm and 132.05 mm. So, the absolute error = |135.31 â€“ 132.05| mm = 3.26 mm. The relative error = (3.26/135.31) = 0.024.Â