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ABSTRACT
Deciding whether two measurement systems agree sufficiently to be used interchangeably is important in manufacturing and other industries. We propose the use of the probability of agreement methodology as a useful technique for quantifying and summarizing agreement between two measurement systems. Accompanying this article is a probability of agreement web application that provides a user-friendly means of performing this analysis.
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Notes on contributors
Laura T. da Rocha
Laura T. da Rocha is an undergraduate statistics student at the University of Brasilia. She was selected to participate in the Brazil Scientific Mobility Program, resulting in an undergraduate research assistantship at the University of San Francisco.
Nathaniel T. Stevens
Nathaniel T. Stevens is an assistant professor of statistics at the University of San Francisco, in the bachelor of data science and master of analytics programs. He was the 2014 recipient of ASA's Mary G. and Joseph Natrella award and the 2012 recipient of ASQ's Ellis R. Ott award for applied statistics and quality management. He is a member of the ASQ.