Free Professional Development
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.
29 Sophia partners guarantee credit transfer.
311 Institutions have accepted or given pre-approval for credit transfer.
* The American Council on Education's College Credit Recommendation Service (ACE Credit®) has evaluated and recommended college credit for 27 of Sophia’s online courses. Many different colleges and universities consider ACE CREDIT recommendations in determining the applicability to their course and degree programs.
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.
Source: dictionary.com
Random Error and Systematic Error impact accuracy
and precision by scattering results or shifting the
results' measures.
Some examples of Random Error are:
Some examples of Systematic Error are:
