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Our percent error calculator helps you calculate the difference between the accepted (true) value and the observed value. You can get the percent error, absolute value, and nonabsolute value using this online calculator.
Percent error refers to the difference between the experimental value and the observed value. With the help of percent error, you can estimate whether your decision or estimation was accurate or how much accurate.
Let’s understand this with the help of an example:
You went to a grocery shop and saw a flour bag labeled as 5 kg but it actually weighs about 5.4, so the difference between the labeled weight and actual weight is 0.4 and the percent error will be 4.
Here’s how you can calculate the percent error using percentage of error calculator:
Below are some of the features of this calculator that make percent error calculation easy.
You cannot only calculate percent error but you can also get the stepbystep calculation of calculating percent error.
The solved steps can be used in your assignments or to verify whether you got the accurate value or not.
You’ll not only get the percent error but you will also get the percent of absolute and nonabsolute values using this absolute error calculator. So, using this calculator, you can get three values i.e., percent error, absolute, and nonabsolute value.
For calculating the percent error, you don’t need to spend any cost, simply get into this calculator and calculate the percent error, absolute, and nonabsolute value.
This percentage error calculator gives multiple outputs and all the outputs are mentioned below.
Absolute error is very simple and refers to the absolute difference between the accepted value and the observed value. If you want to measure absolute value manually, here’s the formula:
Absolute error = V_{true} – V_{observed}
Below is the formula to calculate relative error, you can also calculate on your own.
Relative error = 


Calculating the percent error is easy as it only needs a formula which is displayed below:
Percentage error = 

From the source Wikipedia: Mean percentage error, Approximation error, Examples