Professor Spielman; Associate Professor C. Lee; Assistant Professors Childers, D. Taylor; Teaching Associates K. Bauman, J. Minton, Staniunas.

Roanoke College does not offer a major in Statistics.

Concentration in Statistics

The concentration in statistics will require five units, including STAT 202 Probability, STAT 301 Statistical Methods, and STAT 401 Mathematical Statistics and two additional units chosen from STAT 403 Experimental Design, STAT 404 Applied Regression Analysis, CPSC 420 Simulation, MATH 388 Topics in Mathematics (pending approval of the department), and MATH 416 or STAT 416 Internship (pending approval of the department).

101 Introductory Statistics
Please see description under INQ 240. The Intellectual Inquiry Curriculum was implemented beginning fall term, 2009. Students who completed this course in an earlier term should refer to the 2007-2009 academic catalog for the course description.

202 Probability and Statistics
Data analysis, descriptive statistics, sets, sample spaces, random variables, probability distributions. Chebyshev’s inequality, central limit theorem, sampling and estimation, tests of hypotheses. (1)
Lecture: 3 hrs/wk.
Prerequisite: MATH122.
(May not enroll in Statistics 101 or INQ 240 if STAT 202 has been completed.)

401 Mathematical Statistics
Probability, discrete and continuous distributions, moments and moment-generating functions, sampling theory, and estimation. (1)
Lecture: 3 hrs/wk.
Prerequisites: STAT 202.

402 Statistical Methods
Descriptive statistics, sampling procedures, simulation, estimation of parameters, tests of hypotheses, nonparametric methods, regression, and correlation. (1)
Lecture: 3 hrs/wk.
Prerequisite: STAT 202.

403 Experimental Design
Analysis of variance, analysis of covariance, multiple-range tests, completely randomized and randomized block designs, Latin squares, factorial designs, and split-plot designs. (1)
Lecture: 3 hrs/wk.
Prerequisite: STAT 202.

404 Applied Regression Analysis
Applied statistical methods with emphasis on interpretation of regression models, data analysis, statistical computation, and model building. Specific topics covered include: simple and multiple linear regression, non linear regression, correlation, use of dummy variables, the diagnoses of residuals, selection of variables, and time series techniques. There will be a significant use of statistical software. (1)
Prerequisite: STAT 202.

405, 406, 407 Independent Study and Research
Selected topics in statistics carried out under the direction of a member of the departmental staff. Enrollment with the approval of the department. (1/2, 1, 1/2)

416 Internship
Field placement providing practical experience and training in areas in which statistics is applied. These areas may include industry, government agencies, educational institutions, insurance companies, and a variety of private enterprises. Permission of the department is required. (1)