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  2. Sampling (statistics) - Wikipedia

    en.wikipedia.org/wiki/Sampling_(statistics)

    Sampling (statistics) In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population. The subset is meant to reflect the whole population and statisticians ...

  3. Sampling risk - Wikipedia

    en.wikipedia.org/wiki/Sampling_risk

    Sampling risk. Sampling risk is one of the many types of risks an auditor may face when performing the necessary procedure of audit sampling. Audit sampling exists because of the impractical and costly effects of examining all or 100% of a client's records or books. As a result, a "sample" of a client's accounts are examined. [1]

  4. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined ...

  5. Systematic sampling - Wikipedia

    en.wikipedia.org/wiki/Systematic_sampling

    Systematic sampling. In survey methodology, one-dimensional systematic sampling is a statistical method involving the selection of elements from an ordered sampling frame. The most common form of systematic sampling is an equiprobability method. [1] This applies in particular when the sampled units are individuals, households or corporations.

  6. Stratified sampling - Wikipedia

    en.wikipedia.org/wiki/Stratified_sampling

    Proportionate allocation uses a sampling fraction in each of the strata that are proportional to that of the total population. For instance, if the population consists of n total individuals, m of which are male and f female (and where m + f = n), then the relative size of the two samples (x 1 = m/n males, x 2 = f/n females) should reflect this proportion.

  7. Probability-proportional-to-size sampling - Wikipedia

    en.wikipedia.org/wiki/Probability-proportional...

    Probability-proportional-to-size sampling. In survey methodology, probability-proportional-to-size (pps) sampling is a sampling process where each element of the population (of size N) has some (independent) chance to be selected to the sample when performing one draw. This is proportional to some known quantity so that . [1]: 97 [2]

  8. Statements on Auditing Standards (United States) - Wikipedia

    en.wikipedia.org/wiki/Statements_on_Auditing...

    In the United States, Statements on Auditing Standards provide guidance to external auditors on generally accepted auditing standards (abbreviated as GAAS) in regards to auditing a non-public company [1] and issuing a report. They are promulgated by the Auditing Standards Board of the American Institute of Certified Public Accountants (AICPA ...

  9. Importance sampling - Wikipedia

    en.wikipedia.org/wiki/Importance_sampling

    The basic idea of importance sampling is to sample the states from a different distribution to lower the variance of the estimation of E [X;P], or when sampling from P is difficult. This is accomplished by first choosing a random variable such that E [L; P] = 1 and that P - almost everywhere . With the variable L we define a probability that ...