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)