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Abstract
This paper displays and describes a table useful in a variety of quality control estimation problems where the underlying distribution is binomial. Sample size is, in every case, less than or equal to 32; censoring is permitted in the data. Two examples of the use of the table are given.
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Additional information
Notes on contributors
Anthony A. Salvia
Dr. Salvia is an assistant professor of industrial engineering and a member of ASQC.
Arthur Wahrenberger
Mr. Wahrenberger is a test design engineer for the Locomotive and Parts Department at GE's Erie Plant.