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277 LearnersLast updated on November 17, 2025

In science and mathematics, percent error is a fundamental concept used to check the accuracy of experiments or calculations. In an experiment, we must compare the results with the actual values. Percent error helps evaluate the difference between the calculated value and the real value. This article explores percent error in detail.
Percent error is a key concept in science and mathematics that helps measure how accurate experimental results are compared to accepted values. Scientists and mathematicians use it to check the reliability of their findings. For example, Eratosthenes used it to assess the accuracy of his Earth circumference calculation. Today, percent error is widely used in fields like engineering, physics, chemistry, and economics to evaluate the credibility of measurements and results.
Percent error is a way to measure how inaccurate a measurement is relative to its true or accepted value. It tells us how far off the measurement was, expressed as a percentage.
When calculating percent error, if the answer is 0, it is precisely correct. When the error is slightly off, we get a small percent error. When the error is very wrong, we get a significant percentage error.
We can calculate percent error using a percent error formula. The standard formula for percent error is given as,
Percent error formula:
\(\text{Percent Error} = \frac{|\text{Experimental Value} - \text{True Value}|}{\text{True Value}} \times 100 \)
Where,
Experimental value = the value we measured or estimated.
True value = the correct value
The absolute value | • | ensures the error is always positive.
When we find the percent error, we can understand the impact caused by the error. The formula for percent error is:
\(\text{Percent Error} = \frac{|\text{Experimental Value} - \text{True Value}|}{\text{True Value}} \times 100 \)
Here, the measured value is the result we get after the calculation. True value is the established value.
Cross-Disciplinary Usage: The percent error equation is used not only in math but also in other disciplines, such as physics, computer science, and logical reasoning. We can learn how close an experimental calculation comes to the standard value in physics. Similarly, in chemistry, we use the percent error calculator to compare the actual and theoretical chemical yields. The percent error calculation helps students preparing for competitive exams like GMAT, SAT, etc., by showing its relevance across various questions.
Look at this example that shows how the formula works:
The measured value of a machine is 50 cm. But the actual (true) value of the machine is 48 cm. Now let us calculate the percent error.
The formula for percent error calculation is:
\(\text{Percent Error} = \frac{|\text{Experimental Value} - \text{True Value}|}{\text{True Value}} \times 100 \)
\(\text{Percent error} = \left(\frac{50 - 48}{48}\right) \times 100\)
First, subtract the true value from the measured value:
\(50 − 48 = 2\)
Next, divide 2 by the true value:
\(\frac{2}{48} = 0.0416\)
Now, we can multiply 0.0416 by 100:
\(0.0416 × 100 = 4.16\)
Thus, the percent error is 4.16%.
Percent error calculation is a simple method to find the variation between two values, one is the experimental value, and the other is the actual value. Percent error is a commonly used concept in various fields to estimate the accuracy of results.
The equation for percent error can be further understood by breaking down all the steps.
Step 1: Find the difference between the measured value and the true value.
\(\text{Difference} = |\text{Experimental Value} - \text{True Value}| \)
Step 2: Now, we find the ratio between the difference and the true value.
\(\text{Ratio} = \frac{\text{Difference}}{\text{True Value}} \)
Step 3: Multiply the ratio by 100 to get the percentage.
\(\text{Percent Error} = \text{Ratio} \times 100 \)
Average percent error
The average percentage error, or the mean percentage error (MPE), can be calculated using the formula;
\(\text{MPE} = \frac{100\%}{n} \sum_{i=1}^{n} \left|\frac{T_i - E_i}{T_i}\right|\)
Where,
‘n’ is the number of quantities in the data set.
\(T_i\) is the actual or true value.
\(E_i\) is the estimated value.
\(\sum\) is the summation of the absolute value for all predicted points in time.


When calculating data, the results can be different from the actual answers. To solve this problem, we use percent error to analyze the error and the accuracy of the answer. Students who focus on laboratory research can determine how far their experimental values match the actual values.
Percent error helps identify inconsistencies after an experiment, allowing students to correct mistakes in future trials. In the field of medical science, percent error plays a vital role. It is used to check the specific standards of products in manufacturing sectors and to assess the accuracy of measurements in engineering.
To assess the precision of measurements in a calculation or an experiment, researchers use the key concept of percent error. It helps analyze result reliability. Understanding the various types of percent error will enable students to achieve accurate results. The different types of percent errors are explained below in detail.
An absolute percent error calculates the difference between a measured value and the true value. It ignores the degree of measured and true value. It doesn’t consider whether the measured values are greater or lower than the actual values. To find the absolute error, we can use the formula:
Absolute Error = Measured Value − True Value
For example, if percent error = ((50 − 48) / 48) × 100
The absolute value of the percent error is (2/48) × 100 = 4.1666...
Relative percent error focuses on the error’s relative size. It compares the error to the measured value. When comparing different types of errors in calculations, relative percent error is helpful.
For example, if percent error = ((12.4 − 12.0) / 12.0) × 100
The relative percent error = (measured value − true value) / true value
Percent error = (12.4 − 12.0) / 12.0 = 0.033
It analyzes the difference between experimental values and the expected values. This is commonly used in the field of experimental science, where professionals need to know how much the supposed value deviates from the true value.
For example, percent error = ((experimental value − true value) / true value) × 100
When we measure the speed of light or the gravity acceleration, the percent error indicates how close the measured value is to the actual value.
For example,
Percent error = ((Measured constant value − Known constant value) / Known constant value) × 100.
Determining how close the measured value is to the actual value helps students analyze the accuracy of their calculations. Following some tips and tricks will help kids improve their knowledge of percent error calculation. Here, some of the tips and tricks are listed.
Percent error helps students determine the accuracy of measurements in a calculation or experiment. It provides clarity about the final results. However, making mistakes while calculating percent error will lead to wrong conclusions. Identifying common mistakes and methods to avoid them will enable students to get a better understanding of the concept.
What is Melvin’s percent error if he miscounted his score as 18, when his actual score in English is 24?
25%
To find the percent error, we can use the formula:
\(\text{Percent Error} = \frac{|\text{Experimental Value} - \text{True Value}|}{\text{True Value}} \times 100 \)
Here, the measured value = 18
True value = 24
Now, let us substitute the values:
\(\text{Percent error} = \frac{(18 − 24)} {24} × 100\)
\(18 − 24 = −6\).
Here, don't forget to ignore the negative sign (−).
−6 becomes 6
\(\frac{6} {24} = 0.25\)
\(0.25 × 100 = 25\)
So, Melvin’s percent error is 25%.
Karter is measuring the length of a river and he gets a measurement of 12.4 km. The actual length of the river is 12.0 km. What is the percent error?
3.33%
The measured value = 12.4 km
The true value = 12.0 km
Now, we can use the formula:
\(\text{Percent Error} = \frac{|\text{Experimental Value} - \text{True Value}|}{\text{True Value}} \times 100 \)
\(\text{Percent error} = \frac{(12.4 − 12.0)} {12.0} × 100\)
\(12.4 − 12.0 = 0.4\)
\(\frac{0.4}{12.0} = 0.033\)
\(0.033 × 100 = 3.33%\)
3.3% is the percent error.
Susan is measuring the volume of water and she gets a value of 500 mL. But the actual measurement of water is 505 mL. What is the percent error?
0.99%
Here, the measured value = 500 mL
True value = 505 mL
The formula for percent error is:
\(\text{Percent Error} = \frac{|\text{Experimental Value} - \text{True Value}|}{\text{True Value}} \times 100 \)
\(\text{Percent error} = \frac{(500 − 505)} {505} × 100\)
\(500 − 505 = −5\)
When we get a negative sign, we ignore it in the calculation.
\(\frac{5}{505} = 0.0099\)
\(0.0099 × 100 = 0.99%\)
The percent error is 0.99%.
Della received a medical bill for consulting a doctor that amounted to $70. Della claimed that the consultation fee was $60. What could Della claim as her percent error?
14.29%
The measured value = $60
True value = $70
The formula for percent error is:
\(\text{Percent Error} = \frac{|\text{Experimental Value} - \text{True Value}|}{\text{True Value}} \times 100 \)
\(\text{Percent error} = \frac{(60 − 70)}{70} × 100\)
\(\frac{10 }{ 70} = 0.1428\)
\(0.1428 × 100 = 14.29 %\)
Della can claim 14.29% as her percent error.
Tom calculates the density of iron to be 8.3 g/cm³. The true density of iron is known to be 8.5 g/cm³. What is the percent error?
2.35%
To find the percent error, we need to apply the formula:
\(\text{Percent Error} = \frac{|\text{Experimental Value} - \text{True Value}|}{\text{True Value}} \times 100 \)
\(\text{Measured value} = 8.3 \ g/cm^3\)
\(\text{True value} = 8.5 \ g/cm^3\)
Now we can substitute the values:
\(\text{Percent error} = \frac{(8.3 − 8.5)} {8.5} × 100\)
\(\text{Percent error} = \frac{0.2}{8.5} × 100 = 2.35%\)
The percent error is 2.35%.
Dr. Sarita Tiwari is a passionate educator specializing in Commercial Math, Vedic Math, and Abacus, with a mission to make numbers magical for young learners. With 8+ years of teaching experience and a Ph.D. in Business Economics, she blends academic rigo
: She believes math is like music—once you understand the rhythm, everything just flows!






