Skip to Navigation
    Oberlin College
   
 
  Sep 23, 2017
 
 
    
Course Catalog 2012-2013 [ARCHIVED CATALOG]

Statistical Methods


Return to College of Arts and Sciences, Degree Programs and Requirements Return to: College of Arts and Sciences, Degree Programs and Requirements

Jeff Witmer, Program Director, Professor of Mathematics
Bob Bosch, Professor of Mathematics
Barbara Craig, Professor of Economics
Nancy Darling, Professor of Psychology
Michael Parkin, Associate Professor of Politics
Kevin Woods, Assistant Professor of Mathematics

Statistical methods are widely applied in the social and natural sciences (and, to a lesser extent, in the humanities) to model human behavior, to better understand the natural world, and to aid decision making in the face of uncertainty. Statistical reasoning touches a great many fields of human endeavor and is taught at Oberlin in many departments and at several levels.

A first course in statistics might be taken in the Mathematics Department. Students majoring in Psychology, Politics, or Sociology can take a first course in one of those departments. A second-level course for a general audience is offered by Mathematics. Second-level courses for psychology or economics students are offered by those departments. The Mathematics Department offers an upper-level course each year; other departments offer higher-level courses from time to time.

Placement Exam. Please see the Mathematics section of the catalog for information on the Statistics Readiness Exam for STAT 113 and 114.

Advanced Placement. Students scoring 4 or 5 on the College Board Advanced Placement exam in statistics may receive four hours of credit, equivalent to STAT 113 or 114.

Courses with no statistics prerequisite

STAT 113 (Statistical Methods for the Social and Behavioral Sciences) and 114 (Statistical Methods for the Biological Sciences) are offered each semester by the Mathematics Department; these courses have no prerequisite, but the Mathematics Department administers a readiness exam that students are to take prior to being given consent for either course; students who have passed a calculus course are exempted from the statistics readiness exam. STAT 113 and STAT 114 are similar in coverage of basic statistics methods, but differ primarily in the sources of examples used.

POLT 205 (Political Research and Analysis) provides a quantitative approach to the study of political phenomena, using the SPSS software package.

PSYC 200 (Research Methods I) is offered every semester; the prerequisite to PSYC 200 is PSYC 100 or NSCI 201 – or permission of the instructor. This course uses the SPSS software package and blends basic statistics with research methods that are important to neuroscience, psychology, and other social sciences.

SOCI 210/211 (Social Research Methods and the accompanying lab) is offered every fall and gives an introduction to research methods and statistics used in sociology. The SPSS software package is use to analyze data sets for quantitative hypothesis testing.

Courses with a statistics prerequisite

STAT 213 (Statistical Modeling) is offered every year for students who have completed a first course in statistics (or who have AP statistics credit). The software package R is used in this course, which develops multiple regression, factorial analysis of variance, and logistic regression.

STAT 334 (Bayesian Computation) is offered in alternate years and develops more sophisticated statistical models from a Bayesian perspective.

PSYC 300 (Research Methods II) is offered every semester as a continuation of PSYC 200 in which more advanced material is covered, including multiple regression, factorial and repeated measures analysis of variance, ANACOVA, MANOVA, and logistic regression.

ECON 255 (Introduction to Econometrics) is offered every semester and builds on STAT 113, using econometric software such as State primarily for the application of multivariate regression analysis.

ECON 355 (Advanced Econometrics), ECON 356 (Advanced Microeconometrics), and ECON 357 (Time Series Analysis) are all sequels to ECON 255 in which more advanced methods are developed, such as logit and probit analysis and the techniques particular to the analysis of time series data. One of these advanced courses is typically offered each year. There may be some overlap between ECON 355 and ECON 356, so consult with the economics department chair to be sure of receiving credit for both.


 

 

 

Statistical Methods Courses


Return to College of Arts and Sciences, Degree Programs and Requirements Return to: College of Arts and Sciences, Degree Programs and Requirements