TECHNICAL NOTE 1 DATA RELIABILITY
SAMPLE ERROR
1 The 2000-01 manufacturing survey was designed primarily to deliver industry class estimates for Australia and industry subdivision estimates for states and territories for the data items employment, wages and salaries, sales and service income and IVA.
2 All 2000-01 data contained in this publication have been obtained from a sample of manufacturers (as were data for 1995-96, 1997-98, 1998-99 and 1999-2000). 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 manufacturers 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. The relative standard errors the 2000-01 employment, wages and salaries, sales and service income and Australian data presented in this publication are all 3% or less for industry subdivisions (see Technical Note 2) and most are 6% or less for industry classes. The relative standard errors for the industry subdivision estimates for the states are mainly 3% or less, whilst those for the territories are mainly 5% or less.
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.
NON-SAMPLE ERROR
5 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.
6 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.
TECHNICAL NOTE 2 RELATIVE STANDARD ERRORS
SELECTED DATA ITEMS
|
| INDUSTRY SUBDIVISION |
Employ- ment at end of June (a) | Wages
and
salaries (b) |
Sales and service income |
Purchases |
Industry
value
added | Amount exported by this business unit or by its agent | Aquisition of plant, machinery and equipment |
|  | | | | | | |
| ANZSIC | | | | | | | | |
| code | Description | % | % | % | % | % | % | % |
|
| 21 | Food, beverage and tobacco mfg | 1.2 | 0.9 | 0.8 | 1.2 | 0.9 | 3.2 | 2.2 |
22
23
24
25
26 | Textile, clothing, footwear and leather mfg
Wood and paper product mfg
Printing, publishing and recorded media
Petroleum, coal, chemical and associated
product mfg
Non-metallic mineral product mfg | 2.1
1.9
2.7
1.8
2.2 | 1.7
1.3
1.4
1.3
1.1 | 1.1
1.0
1.3
0.4
0.9 | 1.3
1.2
2.2
0.5
1.0 | 1.7
1.2
1.4
2.3
0.9 | 2.0
1.7
6.5
1.3
2.2 | 5.7
3.8
5.4
3.1
2.4 |
27
28
29
21-29 | Metal product mfg
Machinery and equipment mfg
Other manufacturing
Total manufacturing | 1.6
1.1
2.5
0.6 | 1.7
0.9
2.4
0.5 | 0.7
0.6
2.0
0.3 | 1.8
0.6
2.3
0.4 | 2.9
0.9
2.2
0.7 | 0.4
1.5
6.9
1.0 | 1.8
2.5
6.1
1.1 |
| | | | | | | | |
|
(a) Includes working proprietors.
(b) Excludes the drawings of working proprietors. |
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