How To Calculate Percent Error?

Table of Contents (click to expand)

Percent error is the size of the gap between a measured value and the known or accepted value, expressed as a percentage of the accepted value. The formula is:
Percent error = | (Measured value − Accepted value) / Accepted value | × 100%
Take the absolute value of the difference, divide by the accepted (true) value, and multiply by 100. For example, if the actual count is 16 and the measured count is 13, the percent error is |16 − 13| / 16 × 100 ≈ 18.75%.

The word ‘percentage’ is derived from a Latin word ‘per centum’, which means by 100. The standard symbol used to represent percent or percentage is ‘%’, which evolved by the gradual contraction of the Italian word ‘per-cento’, which means ‘for a hundred’.

Percentage icon 3D white on red background 3d illustration(SimonBrun)S
Standard symbol of percentage (Photo Credit: SimonBrun/ Shutterstock)

According to the Cambridge dictionary, the term percentage means “an amount of something, often expressed as a number out of 100.”

Error, in the context of mathematics, means the deviation of any value from the desired value, or what is expected to be the desired result. The percentage error is very significant in the conduction of a census, surveys, GDP (Gross Domestic Product) or HDI (Human Development Index) comparisons, etc.


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Calculation Of Percentage Error

The textbook definition of percentage error is “the value of the difference between a measured value and the known or actual value (absolute value is taken into consideration) divided by the known or actual value and then multiplying the obtained value by 100.”

The calculation follows four short steps:

  • Subtract the accepted (true) value from your measured value.
  • Take the absolute value of that difference (drop the sign).
  • Divide by the accepted value.
  • Multiply the result by 100 to express the answer as a percentage.

The formula for percent error is:

Percent Error = | Measured Value − Accepted Value | / Accepted Value × 100%

The percentage error can either be in terms of percent increment or percent decrement.

Taking a classical textbook example of percentage error –

In a class of twenty students, 16 pass the exam, whereas the remaining don’t. While uploading the marks, the teacher makes a mistake and lists only 13 students as passing students i.e., failing 3 students. What is the percentage error in the number of students who passed the exam?

So, as given in the question, we have a total of 20 students.

The number of students who passed the exam = 16

The number of students who were listed as passed = 13

Here, the actual value = 16 and the measured value = 13, so:

Pass % Error = ((16-13)/16) *100

= 18.75%

Now, one might wonder why the concept of percentage error is being used when numbers themselves are sufficient for expressing and providing the needed information, as in the above example, when we knew that the teacher failed 3 more students.

The doubt is genuine and with an example, the doubt can be easily clarified.

Why Calculate Percentages And Rectify Errors?

We all use smartphones, and battery life is a very important factor in choosing one, right? A phone’s battery life depends on various factors, such as the apps being used (whether they are high battery consuming or not), the brightness of the screen, etc. Note that the given entities don’t depend on each other (e.g., brightness and the app being used having no connection to each other). With that in mind, how can we group these and measure the battery life, which depends to a different extent on different entities?

WROCLAW POLAND AUGUST 26 2014 Photo of a Samsung Galaxy S2 Android smartphone( George Dolgikh)s
Smartphone plugged in for charging (Photo Credit: George Dolgikh/ Shutterstock)

This is where the concept of percentage comes into focus, as percentages are useful in comparing information where the samples are different. Thus, by converting different data into percentages, they can easily be compared. That’s why the battery life of any device is represented in percentage.

When we buy a new smartphone, the battery life usually lasts for a day (different models have a different amount of battery life), but as time passes, over the years, the battery life of the smartphone drops significantly. How can we learn about that statistic? Simple… by the battery’s percent change (we can apply the same formula as percent error, since we are comparing the current value to a known starting value).

Initially, the battery life was one day, but is now less than half a day. Therefore, talking in mathematical terms, we say that the phone’s battery life is deteriorating, because for example, it initially worked for 24 hours after being charged to 100%, but it has now reduced to a period of less than 12 hours.

Using the percentage error formula, we have:

Initial working period when charged 100% = 24 hours

Current working period when charged 100% = 12 hours

Hence, % error = ((24-12)/24) *100

= 50%

This tells us that the battery life has dropped by 50% over the years. Strictly speaking, this is the percent change (or percent decrease). It uses the same arithmetic as the percent-error formula, but here we are tracking how much a quantity has shifted from its original value, not how far a measurement is from an accepted true value.

Conclusion

Percentage error helps in making data organized and more presentable. It is of immense importance when it comes to comparing different entities influencing a common phenomenon. Needless to say, it’s one of the most important topics in mathematics and has applications in various fields, including data analysis and in the conduction of surveys.

References (click to expand)
  1. PERCENTAGE | English meaning - Cambridge Dictionary.
  2. Percentage Error. Math Is Fun.
  3. Calculate Percent Error.
  4. http://web.archive.org/web/20190713130955/http://www.phy.ilstu.edu:80/slh/Percent%20Difference%20Error.pdf
  5. 250 i-1 introduction percent error and percent difference.
  6. http://web.archive.org/web/20220502152200/http://astro.physics.uiowa.edu/ITU/glossary/percent-error-formula/