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.
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1 March 2003
Research Article|
March 01 2003
Examining data accuracy and authenticity with leading digit frequency analysis
Bassam Hassan
Bassam Hassan
College of Business, The University of Toledo, Toledo, Ohio, USA
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Publisher: Emerald Publishing
Online ISSN: 1758-5783
Print ISSN: 0263-5577
© MCB UP Limited
2003
Industrial Management & Data Systems (2003) 103 (2): 121–125.
Citation
Hassan B (2003), "Examining data accuracy and authenticity with leading digit frequency analysis". Industrial Management & Data Systems, Vol. 103 No. 2 pp. 121–125, doi: https://doi.org/10.1108/02635570310463447
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