Accurate results are free from systematic and random errors and accuracy also involves trueness and precision. Precision is defined as the closeness of agreement between individual values.

In general, systematic errors cause a bias in measurements that result in an ‘offset’ of measured data points from the ‘true’ value of the quantity being measured. Systematic errors are commonly ...

In an experiment, evaluate the validity of the steps leading up to the conclusion for it to be valid. Random and systematic errors can contribute to the uncertainty of a measurement.