Motivation
Science relies on empirical data, which is
inherently subject to measurement error
Uncertainty estimates are necessary for:
assessing quality of data
comparison of data
verify/refute theoretical predictions
Students often have difficulty analyzing errors
Guidelines for reporting uncertainties vary:
Terminology and notation is not consistent
International standard exists but is not well known