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  • 标题:The Use Of Statistical Sampling And A Single-Point Estimator To Establish Punitive Fines In Compliance Auditing: A Cautionary Note
  • 本地全文:下载
  • 作者:Steven W. Lamb ; William H. Svihla ; Jeffrey S. Harper
  • 期刊名称:Journal of Business & Economics Research
  • 印刷版ISSN:1542-4448
  • 电子版ISSN:2157-8893
  • 出版年度:2011
  • 卷号:7
  • 期号:1
  • 语种:English
  • 出版社:The Clute Institute for Academic Research
  • 摘要:This paper describes current practices relating to statistical sampling used by auditors performing compliance audits. An example audit case is presented where a compliance audit is performed using statistical sampling. Fines for non-compliance are based upon the sample results. While the practice is quite common and generally accepted, there are significant ramifications associated with the use of a single-point estimator. Approximately half of the time, an auditee will be charged more than is actually deserved. We explore the shortcomings associated with the use of a single-point estimator and the appropriateness of the use of a one-tailed confidence interval to provide greater assurance that fines are appropriate and reasonable.
  • 关键词:audit sampling;sampling risk;confidence intervals;compliance audit;projected values
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