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A Course In Statistical Analysis For Engineers In An Integrated Engineering Curriculum

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Conference

1996 Annual Conference

Location

Washington, District of Columbia

Publication Date

June 23, 1996

Start Date

June 23, 1996

End Date

June 26, 1996

ISSN

2153-5965

Page Count

6

Page Numbers

1.7.1 - 1.7.6

Permanent URL

https://peer.asee.org/5946

Download Count

116

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Paper Authors

author page

John Kinney

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Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract

Session 1230

A Course in Statistical Analysis for Engineers in an Integrated Engineering Curriculum

John Kinney Rose-Hulman Institute of Technology

Rose-Hulman Institute of Technology is one of a number of institutions comprising the Foundation Coalition which is funded by the National Science Foundation. The Coalition seeks to create model programs in engineering for national use which are tested at the Coalition institutions.

With a freshman integrated program in place, a team at Rose-Hulman created a sophomore program in engineering during the summer of 1995. The philosophy of the program and some of the details regarding the engineering courses have been discussed by Froyd (1) and Richards (2 ). Courses in mathematics are coordinated with the courses in engineering and comprise primary mathematical threads for the curriculum. courses in differential equations are of course included; recognizing the increased importance of data analysis for engineering as well as the current emphasis on quality methods and statistical process control in manufacturing, a course in statistics also comprises a main thread of the curriculum. The propose of this paper is to discuss the reasons for including this course, its content and plans for future development.

Need for the course

Engineers, in research and in creating manufacturing processes, by necessity deal with samples or a portion of all the possible observations of a process, so it is recognized that statistical analysis of the data gathered is appropriate; hence we must produce engineers who are not only literate in a verbal sense but literate in a quantitative sense as well.

Statistics, relative to parts of mathematics that have been known for about 5000 years, is brand new mathematics. Although some facts were known before this, the substance of statistics has been developed since approximately 1920. Tremendous strides in areas such as

?$iii’ ) 1996 ASEE Annual Conference Proceedings ‘..*,Hly’,?

Kinney, J. (1996, June), A Course In Statistical Analysis For Engineers In An Integrated Engineering Curriculum Paper presented at 1996 Annual Conference, Washington, District of Columbia. https://peer.asee.org/5946

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