X CHART CONTROL LIMITS BASED ON A SMALL NUMBER OF SUBGROUPS

Abstract

AD-286 384Div. 15 U (TISTP/WH) OTS price 3.60Applied Mathematics and Statistics Labs., Stanford U., Calif. X CHART CONTROL LIMITS BASED ON A SMALL NU BER OF SUBGROUPS, by Frederick S. Hillier. 4 ep 62, 29p. incl. tables, 21 refs. (Technical rept. no. 63) (Contract Nonr-22553, Proj. NR-042-002) Unclassified report DESCRIPTORS: *Groups (Mathematics), *Analysis of variance, *Quality control, *Statistical processes, Statistical distributions. Conventional X chart control limits provide a very unreliable basis for indicating when the process ha fallen out of statistical control unless these limits are based on a fairly large number of subgroups, say 25 or more. A method is presented which provide statistically sound control limits regardless of the smallness of the number of subgroups observed. This permits the reliable use of X charts during the crucial initiation of a new process, during the start-up of a process just brought into statistical control again, or for any process whose total output is not very large. The method is simple, requiring only the use of Table 4.1, and the interpretation of results is the same as with conventional control limits. Finally, even hen conventional control limits are used, the results given in Table 3.1 permit a precise probabilistic evaluation of these control limits. (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 04, 1962
Accession Number
AD0286384

Entities

People

  • Frederick Stanton Hillier

Organizations

  • Stanford University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Analysis Of Variance
  • Computing-Related Activities
  • Data Science
  • Information Science
  • Mathematical Analysis
  • Mathematics
  • Quality Control
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Distributions
  • Statistical Processes
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Snow Cover Descriptors for Reptiles and Their Illustrations.
  • Systems Analysis and Design