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Abstract

First we rewrite the essential ideas of the previous lesson in a different terminology. The lot (population of size N) consists of objects from a (manufacturing) process and are either defective or non—defective; the proportion of defectives in the lot is θ = D/N but D is unknown. The process has been “well— tuned” and the producer believes that θ ≤θ0a known number. If that is true, the producer considers this a “good lot” and expects to sell it. On the other hand, the consumer is unwilling to 0062uy a “bad lot” wherein the proportion of defectives is θ ≥θaa known number greater than θ0. In order to decide whether or not to buy the lot, the consumer insists on examining a sample (of size n); the consumer and the producer agree that the consumer can refuse the lot when the number X of defectives in the sample is too big, say X ≥ c.

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© 1989 Springer Science+Business Media New York

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Nguyen, H.T., Rogers, G.S. (1989). An Acceptance Sampling Plan. In: Fundamentals of Mathematical Statistics. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1013-9_16

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  • DOI: https://doi.org/10.1007/978-1-4612-1013-9_16

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-6984-7

  • Online ISBN: 978-1-4612-1013-9

  • eBook Packages: Springer Book Archive

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