Determining the Appropriate Sample Size for Confidence Limits for a Proportion

Abstract

Earlier papers by the present authors presented formulas for approximating with at least 0.999 relative accuracy the binomial confidence limits p sup bar and p sub bar based on a sample of size n with c 'defectives' drawn randomly from an infinite population with probability of p of a defective. The present article, in complementary fashion, presents substantially accurate procedures for determining appropriate sample size based on specifications as to the maximum anticipated value of c/n, the maximum desired value of the error margin which is the interval between c/n and p sup bar, and confidence level gamma.

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Document Details

Document Type
Technical Report
Publication Date
Oct 15, 1970
Accession Number
AD0714794

Entities

People

  • Herman Burstein
  • Theodore W. Anderson

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Binomials
  • Classification
  • Confidence Limits
  • Contractors
  • Contracts
  • Data Science
  • Governments
  • Information Science
  • Intervals
  • Military Research
  • Normal Distribution
  • Specifications
  • Standards
  • Statistics
  • United States Government
  • Universities

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Mathematics or Statistics
  • Vision Science/Vision Psychology/Cognitive Neuroscience.