RELIABILITY AND CONFIDENCE LIMITS FOR SAMPLE TESTING: BASED ON THE BINOMIAL DISTRIBUTION GRAPHS FOR SAMPLE SIZES FROM 1 TO 100, AND FROM 100 TO 1, 000 IN MULTIPLES OF 10

Abstract

Graphs are given for the determination of the upper and lower reliability confidence limits as defined by the number of successes in a random sample test. The graphs are for sample sizes from 1 to 100, and also from 100 to 1,000 in multiples of 10, and any number of successes. Two reliability results can be read directly from the graphs: the probability confidence that the reliability is at least p sub l, and that it is at most P sub u. The number of successes required for a particular sample to meet stated reliability confidence levels can be read. The graphs can also be used in determining whether the sample falls within predetermined risk levels.

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Document Details

Document Type
Technical Report
Publication Date
Apr 29, 1968
Accession Number
AD0668984

Entities

People

  • C. J. Thorne
  • R. W. Claassen

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Weapons Technologies

DTIC Thesaurus Topics

  • Binomials
  • Confidence Limits
  • Data Science
  • Distribution Theory
  • Equations
  • Information Science
  • Interpolation
  • Intervals
  • Numerical Analysis
  • Numerical Integration
  • Operations Research
  • Probability
  • Production
  • Reliability
  • Statistical Samples

Readers

  • Regression Analysis.