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  2. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4]

  3. SOX 404 top–down risk assessment - Wikipedia

    en.wikipedia.org/wiki/SOX_404_top–down_risk...

    Detailed guidance about performing the TDRA is included with PCAOB Auditing Standard No. 5 (Release 2007-005 "An audit of internal control over financial reporting that is integrated with an audit of financial statements") [1] and the SEC's interpretive guidance (Release 33-8810/34-55929) "Management's Report on Internal Control Over Financial ...

  4. Acceptance sampling - Wikipedia

    en.wikipedia.org/wiki/Acceptance_sampling

    The design of a single sampling plan requires the selection of the sample size and the acceptance number . MIL-STD-105 was a United States defense standard that provided procedures and tables for sampling by attributes (pass or fail characteristic).

  5. Ratio estimator - Wikipedia

    en.wikipedia.org/wiki/Ratio_estimator

    where N is the population size, n is the sample size, m x is the mean of the x variate and s x 2 and s y 2 are the sample variances of the x and y variates respectively. These versions differ only in the factor in the denominator (N - 1). For a large N the difference is negligible.

  6. Sampling risk - Wikipedia

    en.wikipedia.org/wiki/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]

  7. Sample maximum and minimum - Wikipedia

    en.wikipedia.org/wiki/Sample_maximum_and_minimum

    The sample extrema can be used for a simple normality test, specifically of kurtosis: one computes the t-statistic of the sample maximum and minimum (subtracts sample mean and divides by the sample standard deviation), and if they are unusually large for the sample size (as per the three sigma rule and table therein, or more precisely a Student ...

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  9. Design effect - Wikipedia

    en.wikipedia.org/wiki/Design_effect

    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.