TECHNICAL NOTE 1 DATA RELIABILITY
1 For each of 2001-02 and 2002-03, the Annual survey was, in part, a sample survey designed primarily to deliver industry division estimates for Australia. Experimental estimates, at state, territory and Australian industry class level, are also produced.
2 The majority of data contained in this publication have been obtained from a sample of businesses. As such, these data are subject to sampling variability; that is, they may differ from the figures that would have been produced if the data had been obtained from all manufacturing businesses in the population. The measure of the likely difference as used by the ABS is given by the standard error, which indicates the extent to which an estimate might have varied by chance because the data were obtained from only a sample of units. There are about two chances in three that a sample estimate will differ by less than one standard error from the figure that would have been obtained if the data had been obtained from all units, and about 19 chances in 20 that the difference will be less than two standard errors.
3 The standard error can also be expressed as a percentage of the estimate, and this is known as the relative standard error (RSE). The relative standard errors for the 2001-02 and 2002-03 sales and service income, wages and salaries, and IVA Australian data presented in this publication are mainly 2% or less for both years for industry subdivisions (see Technical Note 2) and most are 4% or less for both 2001-02 and 2002-03 for industry classes. The relative standard errors for the selected estimates for the states and territories are mainly 2% or less for both years.
4 Relative standard errors at the industry subdivision level for Australia for selected data items representing the full range of data contained in this publication are shown in Technical Note 2. Detailed relative standard errors can be made available on request.
5 The size of the RSE may be a misleading indicator of the reliability of some of the estimates for IVA. This situation may occur where an estimate may legitimately include positive and negative values, reflecting the financial performance of individual businesses. In these cases, the aggregated estimate can be small relative to the contribution of individual businesses resulting in a standard error which is large relative to the estimate.
6 The imprecision due to sampling variability, which is measured by the standard error, should not be confused with inaccuracies that may occur because of inadequacies in available sources from which the population frame was compiled, imperfections in reporting by providers, errors made in collection such as in recording and coding data, and errors made in processing data. Inaccuracies of this kind are referred to collectively as non-sampling error and they may occur in any enumeration, whether it be a full census or a sample.
7 While it is not possible to quantify non-sampling error, every effort is made to reduce it to a minimum. Collection forms are designed to be easy to complete and assist businesses to report accurately. Efficient and effective operating procedures and systems are used to compile the statistics. The ABS compares data from different ABS (and non-ABS) sources relating to the one industry, to ensure consistency and coherence.
8 There are also non-sampling errors associated with the BIT data sourced from the ATO. For example, the ATO treats any non-response by either bringing forward the previous year's data for a non-responding business, or imputing the data as zero if there are no previous data to use.