OPTIMUM SAMPLING PLANS FOR GRADING BINOMIAL POPULATIONS

Abstract

This report gives a generalized solution and supporting theoretical development for minimizing the risks of incorrectly grading binomial populations on the basis of attributes of small samples drawn from larger populations. Integration techniques are employed in this solution and a transformation is derived so that the evaluation of the integrals is accomplished using cumulative binomial probabilities. Tabulated solutions are presented for lot classification into 2, 3, or 4 grades for various sample sizes and allowable percent defectives ranging from 0.01 to 0.50.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1968
Accession Number
AD0668669

Entities

People

  • James R. Moore
  • Paul B. Nickens

Organizations

  • Ballistic Research Laboratory

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Binomials
  • Classification
  • Data Science
  • Information Science
  • Inspection
  • Integrals
  • Intervals
  • New York
  • Probability
  • Probability Distributions
  • Quality Control
  • Random Variables
  • Sampling
  • Statistical Analysis
  • Statistical Samples
  • Test And Evaluation
  • Two Dimensional

Readers

  • Calculus or Mathematical Analysis
  • Psychometric Testing or Psychological Assessment.
  • Statistical inference.