Learn what accuracy, precision, systematic error and random error are.
Figure out how to determine if data is accurate, precise, both or neither.
Understand how systematic and random errors impact accuracy and precision.
Use an example experiment to identify accuracy, precision, systematic error and random error.
Accuracy- the extent to which a given measurement agrees with the true value.
Precision- the extent to which a given set of measurements of the same sample agree with their mean.
Systematic Error- A persistent error that cannot be attributed to chance, but to inaccuracy in the statistical system or in the measurement instrument used.
Random Error- A measurement mistake caused by factors that vary from one measurement to another. Error due to chance.
Random Error and Systematic Error impact accuracy
and precision by scattering results or shifting the
Some examples of Random Error are:
Some examples of Systematic Error are: