STRATIFIED RANDOM SAMPLING FROM A DISCRETE POPULATION
In the development of statistical acceptance procedures for products whose quantity is measured on a continuous scale by using units such as length, area, volume, or weight, quality-assurance engineers usually specify stratified random sampling plans to ensure a more uniform coverage of the product than is often achieved by pure random sampling. Stratified plans divide the total quantity of the product into an appropriate number of equal-sized sublots and require that a single random sample be taken from each. Not only is it desirable to develop an equivalent procedure for products that are measured in discrete units, but in many cases, such a procedure will prove to be more convenient for continuous products that are produced or delivered in discrete units such as batches or truckloads. However, the development of such a procedure is not as straightforward as might be expected. Weaknesses of some of the more obvious approaches are discussed and then a method is presented that achieves the desired result.
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Supplemental Notes:
- Publication of this paper sponsored by Committee on Quality Assurance and Acceptance Procedures. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved.
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Authors:
- Weed, Richard M
- Publication Date: 1981
Media Info
- Media Type: Print
- Features: Figures; References;
- Pagination: pp 49-53
- Monograph Title: Contractual Relationships: An Essential Ingredient of the Quality-Assurance System and Other Quality-Control Papers
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Serial:
- Transportation Research Record
- Issue Number: 792
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Acceptance sampling; Discrete systems; Quality assurance; Statistical quality control; Statistical sampling; Stochastic processes; Structural analysis
- Old TRIS Terms: Discrete elements
- Subject Areas: Construction; Data and Information Technology; Highways; I10: Economics and Administration;
Filing Info
- Accession Number: 00341158
- Record Type: Publication
- ISBN: 0309032067
- Files: TRIS, TRB
- Created Date: Oct 28 1981 12:00AM