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
Link To Document