• DocumentCode
    3250769
  • Title

    Statistical thinking for engineers - what, why, and how?

  • Author

    Krishnamoorthi, K.S.

  • Author_Institution
    IMET Dept., Bradley Univ., Peoria, IL, USA
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    893
  • Lastpage
    897
  • Abstract
    Many leaders in the quality profession, Dr. Deming being the foremost among them, have emphasized the need for engineers to have the ability to think statistically in order to understand and solve problems occurring in populations with variability. This article explains what statistical thinking is, why it is needed, and how the ability for it can be acquired. A series of real-world case studies show how statistical thinking helps in framing a physical problem in terms of statistical models, understanding the cause and effect relationships, and then devising solutions. A sample test is presented to define the range of statistical knowledge needed to gain the ability for statistical thinking.
  • Keywords
    cause-effect analysis; personnel; quality management; statistical analysis; cause-and-effect relationship; engineer; physical problem; quality profession; statistical knowledge; statistical model; statistical thinking; Incineration; Vents; Quality; problem solving; statistical thinking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6483-8
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2010.5646479
  • Filename
    5646479