Answer: It is a mathematical way of showing accuracy.The higher the percent error, the less accurate the data set.
Explanation:
Percent error is the difference between the experimental value and theoretical value and measures the accuracy of the result found. The larger the error, lesser is the accuracy and vice versa.
[tex]{\text {percent error}=\frac{|\text {Accepted value- Experimental value}|}{\text {accepted value}}[/tex]
The experimental value can be greater or smaller than accepted value thus percent error can be positive as well as negative. But we only consider the value without the sign.
