Error and Accuracy Demo

Three different targets with clusters of black dots in different locations on each. One has dots in a small cluster on the lower right with text

This unit refers to measuring the reliability and precision of the data that we have. Error in this case refers to the difference between the calculated and the true value, while Accuracy in this case indicates how close the calculated and the true value are. some methods used for error and accuracy include the following: Standard Deviation, Mean Absolute Error and the Root Mean Square Error. There are more methods to calculate Error and Accuracy, but these are just some that you can use right away.