Random error is often quantified through statistical measures such as standard deviation and standard error. These measures provide an estimate of the variability in the data, allowing researchers to account for random error in their analyses and interpretations. Additionally, confidence intervals are used to express the precision of estimates, with wider intervals indicating greater random error.