In the months preceding elections in the United States it is difficult to avoid statistical sampling, as polling projections are everywhere. Only a sample is used to make these projections because it would take too much time and be too expensive to determine how every voter will vote. [1] Statistical sampling has many others uses as well, including being used as evidence in a trial [2] or being used to estimate how much a taxpayer owes the government on their tax return. [3] As with elections, to determine the exact result for a tax return, every item in the population would need to be investigated. As a population gets larger, this gets more time consuming and more expensive, especially when the information is collected by experts, lawyers, and accountants. Furthermore, each additional item of the population collected will not result in a proportionate change in the precision of the estimate, because the precision of an estimate varies inversely with the square root of the sample size. [4] Tax deductions and credits may be difficult to calculate, but rather than render them worthless to taxpayers or get rid of them completely, statistical sampling should be encouraged when calculations would otherwise be too difficult to calculate.
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