Inter-College Study Group to Evaluate Texas Tech Statistics Courses

 

Click Here for Final Committee Report, Completed 10/24/2005
(Microsoft Word file with embedded graphics, 30 pages.)

 

 

 


What is this committee doing?

 

Consistent with the University’s commitment to “teaching and the advancement of knowledge,” (from the TTU mission statement), this committee will review statistics courses at Texas Tech and make recommendations aimed at improving the quality of statistics education, and enhancing the research mission of Texas Tech University.   Through its integrative processes, the work of the committee will directly enable the following outcomes, campus-wide: (i) a more quantitatively and scientifically literate student body and faculty, (ii) improved placement of doctoral students, and (iii) improved research productivity, both in terms of journals and funded projects, for students and faculty. Here is the specific charge to committee  (click the hyperlink).

 



What is the discipline of “Statistics”?

 

The website of the American Statistical Association (ASA) lists a comment from a former ASA president and two dictionary definitions:

 

Jon Kettenring, ASA President, 1997, says, "I like to think of statistics as the science of learning from data...It presents exciting opportunities for those who work as professional statisticians. Statistics is essential for the proper running of government, central to decision making in industry, and a core component of modern educational curricula at all levels."


American Heritage Dictionary® defines statistics as: "The mathematics of the collection, organization, and interpretation of numerical data, especially the analysis of population characteristics by inference from sampling."

 

The Merriam-Webster’s Collegiate Dictionary® definition is: "A branch of mathematics dealing with the collection, analysis, interpretation, and presentation of masses of numerical data."

 


How does this committee define a “Statistics Course”?

 

The committee has adopted the following working definition of a statistics course: 

 

A “Statistics Course” is any course where more than 50% is spent covering probability, statistics, or statistical software (SAS, SPSS, Amos, Lisrel, Minitab, SPLus, R, Stata, Limdep, Eviews, etc.) in a “generic” way (that is, in a way that requires no discipline-specific prerequisite). 

 

 

Who is on the Committee? 

 

Peter Westfall, chair, Jerry S. Rawls College of Business Administration

Ruth Maki, College of Arts and Sciences

Hossein Mansouri, College of Arts and Sciences

William Lan, College of Education 

Arturo Olivarez, College of Education

William Lan, College of Education

John Kobza, College of Engineering

Alan Reifman, College of Human Sciences

David Wester, College of Agricultural Sciences and Natural Resources

John Borrelli, Dean, Graduate School

 

Committee Outputs: 

 

Course listing Spreadsheets  (All spreadsheets are preliminary and for only 2003-2004 calendar years)

 

Database of All Statistics Courses (Last update: 8/20/2005)

Summary of Statistic Courses Coverage (Last update: 8/27/2005)

Enrollment Report 1 Enrollment Report 2 Enrollment Report 3 (Last update: 8/7/2005)

Pie Chart (Last update: 8/7/2005)

List of all courses taught between Fall 03 and SSI 04 and instructor qualifications (from the TTU SACS re-affirmation report)

OP32.02:  Texas Tech University Operating Policy and Procedure on Faculty and Instructor Qualifications

 

Statistics Links of Interest

 

The American Statistical Association: http://www.amstat.org

 

Links from the United States Conference on Teaching Statistics, May 2005:
    http://www.causeweb.org/uscots/breakout/
    http://www.causeweb.org/uscots/spotlight/curriculum.php
    http://www.causeweb.org/uscots/spotlight/pedagogy.php
    http://www.causeweb.org/uscots/spotlight/research.php

Assessment tools for Statistical Literacy:  The “ARTIST” Website at http://www.gen.umn.edu/artist/

 

The American Statistician Vol. 59(1), February, 2005 published a special section on the training of students who wish to teach statistics.

 

Wildlife Society Bulletin 2001, Vol. 29, published a special section entitled “Biometrics in Undergraduate Education”

 

The Statistics Education Research Journal  http://www.stat.auckland.ac.nz/~iase/publications.php?show=serj#archives

 
"Rice Virtual Lab in Statistics"
http://onlinestatbook.com/rvls.html

 

Statistical Thinking for Decision Making (U of Baltimore) http://home.ubalt.edu/ntsbarsh/Business-stat/opre504.htm

 

Statsoft.com Electronic Textbook http://www.statsoft.com/textbook/stathome.html
 

Arizona St. t-test Calculator http://glass.ed.asu.edu/stats/analysis/t2test.html

  

Correlations website http://illuminations.nctm.org/index_d.aspx?id=456

 

Journal of Statistics Education Data Archive http://www.amstat.org/publications/jse/jse_data_archive.html    

 

"Hot Hand" in Sports http://thehothand.blogspot.com 

 

Inter-University Consortium for Political and Social Research (ICPSR, hosted by the University of Michigan) http://www.icpsr.umich.edu