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.

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
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00341158
  • Record Type: Publication
  • ISBN: 0309032067
  • Files: TRIS, TRB
  • Created Date: Oct 28 1981 12:00AM