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The Labour Force Survey: A General Description

In this section I briefly describe the use of mathematical statistics underlying the design and analysis of the Bureau's Labour Force Survey (LFS).

The survey is subject to both `sampling error' (as it is not a full census), and also `non-sampling error', because measurement processes will always entail some error. Mathematics plays an important rôle in minimising the effect of these errors, whilst also keeping costs at an acceptable level.

Mathematics plays a further rôle in the use of the derived estimates. It helps the user to extract information from the data collected; in particular, extending the usefulness of the data by bringing-out patterns over time.



Ross Moore ross@ics.mq.edu.au
1/30/1997