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On Estimating the Size and Confidence of a Statistical Audit

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Author(s)
Rivest, Ronald L.
•
Popa, Raluca A.
•
Aslam, Javed A.
Date Issued
April 22, 2007
Publisher
Caltech/MIT Voting Technology Project
Series/Report no.
VTP Working Paper Series;54
Abstract
We consider the problem of statistical sampling for auditing elections, and we develop a remarkably simple and easily-calculated upper bound for the sample size necessary for determining with probability at least c whether a given set of n objects contains b or more “bad” objects. While the size of the optimal sample drawn without replacement can be determined with a computer program, our goal is to derive a highly accurate and simple formula that can be used by election officials equipped with only a simple calculator.
Subjects
Statistical audit
Statistical sampling
Auditing elections
Persistent DSpace Link
http://hdl.handle.net/1721.1/96591
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