Examining data accuracy and authenticity with leading digit frequency analysis

Examining data accuracy and authenticity with leading digit frequency analysis This paper proposes and demonstrates that leading digit frequency analysis offers a potential framework to examine the accuracy and authenticity of data values in numerical data sets. Leading digit frequency analysis maintains that the frequencies of leading digits in an original and unmanipulated data set follow a predictable distribution as suggested by Benford’s law. The results of an experiment with random numbers revealed distinct differences between the observed leading digit distribution in the random numbers and the expected distribution as suggested by Benford’s law. This suggests that leading digit frequency analysis offers a useful procedure to evaluate data accuracy and authenticity and offers several useful managerial implications. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Industrial Management & Data Systems Emerald Publishing

Examining data accuracy and authenticity with leading digit frequency analysis

Industrial Management & Data Systems, Volume 103 (2): 5 – Mar 1, 2003

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Publisher
Emerald Publishing
Copyright
Copyright © 2003 MCB UP Ltd. All rights reserved.
ISSN
0263-5577
D.O.I.
10.1108/02635570310463447
Publisher site
See Article on Publisher Site

Abstract

This paper proposes and demonstrates that leading digit frequency analysis offers a potential framework to examine the accuracy and authenticity of data values in numerical data sets. Leading digit frequency analysis maintains that the frequencies of leading digits in an original and unmanipulated data set follow a predictable distribution as suggested by Benford’s law. The results of an experiment with random numbers revealed distinct differences between the observed leading digit distribution in the random numbers and the expected distribution as suggested by Benford’s law. This suggests that leading digit frequency analysis offers a useful procedure to evaluate data accuracy and authenticity and offers several useful managerial implications.

Journal

Industrial Management & Data SystemsEmerald Publishing

Published: Mar 1, 2003

Keywords: Data; Analysis

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