The degree to which a data set may be in error or stray from predicted values. Sometimes quantified in terms of variance or standard deviation, uncertainty exists in data because of a variety of problems, such as poor calibration or contamination or damage to rocks prior to measurement. Uncertainty is the cause of many problems, which occasionally can be overcome by normalizing the data.

Related Terms:

accuracy
repeat section
repeatability
reproducibility