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Postcodes were introduced in Australia in 1967 by the Postmaster-General's Department (PMG) to replace earlier postal sorting systems, such as Melbourne's letter and number codes (e.g., N3, E5) and a similar system then used in rural and regional New South Wales.
It is usually determined on the basis of the cost, time or convenience of data collection and the need for sufficient statistical power. For example, if a proportion is being estimated, one may wish to have the 95% confidence interval be less than 0.06 units wide. Alternatively, sample size may be assessed based on the power of a hypothesis ...
Illuminated address to see better at night. An address is a collection of information, presented in a mostly fixed format, used to give the location of a building, apartment, or other structure or a plot of land, generally using political boundaries and street names as references, along with other identifiers such as house or apartment numbers and organization name.
If the sample size is 1,000, then the effective sample size will be 500. It means that the variance of the weighted mean based on 1,000 samples will be the same as that of a simple mean based on 500 samples obtained using a simple random sample.
An Australian bank issued plastic debit or credit card; An Australian bank statement; Motor vehicle registration papers issued in Australia; Home insurance papers; Student cards issued by schools or higher education institutions; Preference is given to Identity documents showing full name, address and a photo, and documents issued by Australian ...
The Australian Bureau of Statistics Act 1975 established the ABS as a statutory authority headed by the Australian Statistician, who reported to the federal Treasurer. [9] In 2015, the Australian Government announced a $250 million five-year investment in the ABS to modernise its systems and processes. [11]
An example arises in the estimation of the population variance by sample variance. For a sample size of n , the use of a divisor n −1 in the usual formula ( Bessel's correction ) gives an unbiased estimator, while other divisors have lower MSE, at the expense of bias.
In statistics, the sample maximum and sample minimum, also called the largest observation and smallest observation, are the values of the greatest and least elements of a sample. [1] They are basic summary statistics , used in descriptive statistics such as the five-number summary and Bowley's seven-figure summary and the associated box plot .