Inter-College Study Group to Evaluate
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?
William Lan, College of Education
Arturo Olivarez, College of Education
William Lan, College of Education
Alan Reifman, College of Human Sciences
David Wester, College of Agricultural Sciences and Natural Resources
John Borrelli, Dean,
Course listing Spreadsheets (All spreadsheets are preliminary and for only 2003-2004 calendar years)
Database of All Statistics Courses (Last update: 8/20/2005)
Chart (Last update: 8/7/2005)
Statistics Links of Interest
The American Statistical Association: http://www.amstat.org
Links from the
United States Conference on
Teaching Statistics, May 2005:
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
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