The result of a measurement needs to be accompanied by information on the e
rror or uncertainty of the measurement. Either of two very closely related
concepts is thus required to indicate the usefulness and relevance of a res
ult for its purpose: decision making. This presentation will outline the di
fference between the concept of error and that of uncertainty and deal with
procedures to estimate the latter. The use of a spreadsheet program will i
llustrate how the combined uncertainty is estimated in a relatively complex
situation with a bearing on laboratory medicine.