Principle 3. - Accountability
To facilitate a correct interpretation of the data, the statistical agencies are to present
information according to scientific standards on the sources, methods and procedures of the
From the design stage through to the dissemination stage of a statistical collection or
compilation there are many ways in which errors can be introduced into the results.
Some errors, particularly those resulting from the use of sampling, are random and their
magnitude measurable. Other errors, mainly from non-sampling sources or from the choice
of model and assumptions behind the measurement process, can introduce bias into the
results and are difficult to measure. Whether errors can be measured or not, information
on their source and extent should be made openly available to users so that they can judge
the fitness of use of the data. This information on known sources of error and the
concepts, sources and methods
behind the statistics should be readily found, by either
including it along with the results or by being readily available as accompanying documentation.