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SQC Theory

  • Theodore T. Allen
Chapter

Abstract

Some people view statistical material as a way to push students to sharpen their minds, but as having little vocational or practical value. Furthermore, practitioners of six sigma have demonstrated that it is possible to derive value from statistical methods while having little or no knowledge of statistical theory. However, understanding the implications of probability theory (assumptions to predictions) and inference theory (data to informed assumptions) can be intellectually satisfying and enhance the chances of successful implementations in at least some cases.

References

  1. Grimmet GR, Stirzaker DR (2001) Probability and random processes, 3rd edn. Oxford University Press, OxfordGoogle Scholar
  2. Keynes JM (1937) General theory of employment. Quart J EconGoogle Scholar
  3. Savage LJ (1972) The foundations of statistics, 2nd edn. Dover Publications Inc, New YorkzbMATHGoogle Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  1. 1.Industrial and Systems EngineeringThe Ohio State UniversityColumbusUSA

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