JSM 2005 - Toronto

Abstract #304472

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 180
Type: Topic Contributed
Date/Time: Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Quality and Productivity
Abstract - #304472
Title: Quality Procedures in Statistical Sampling
Author(s): Wendy Rotz*+ and Mary Batcher
Companies: Ernst & Young LLP and Ernst & Young LLP
Address: 1225 Connecticut Avenue, Washington, DC, 20013, United States
Keywords: Quality ; Sampling
Abstract:

In the National Office of a big-four accounting firm, Ernst & Young's Quantitative Economics and Statistics Group (QUEST) conducts more than 150 samples annually to estimate values in regulatory, audit, and litigation settings. There is constant pressure in private industry to deliver complex analyses with short notice---within a week or even a day. Often, after the sample is drawn and the study in progress, newly discovered information will alter the sampling frame, requiring design adaptations and more detailed computations later. When audit and survey results are returned for estimation months later, staff who performed the original work may be juggling multiple projects and will work late to accommodate the deadline. Some may even be unavailable due to turnover or their current assignments. In this setting, there are many factors that can lead to errors, inefficiencies, and difficulties reproducing our work. Yet trust in our quality is critical to our business, efficiency is essential for profitability, and a clear audit trail is mandatory.


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Revised March 2005