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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1989 Springer Science+Business Media New York
About this chapter
Cite this chapter
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
Download citation
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