STATISTICS
Professors Ergle, Spielman;Teaching Associates J. Minton, Staniunas
No major is offered 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
Frequency distributions, computation of averages and
measures of dispersion, probability distributions, elements of
sampling, correlation, prediction, tests of hypotheses.
(This course may be used for credit toward the General
Education requirements in mathematics.) (1)
Lecture: 3 hrs/wk.
(May not enroll in Statistics 101 if Statistics 202 has been
completed.)
202 Probability
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: Mathematics 122.
(May not enroll in Statistics 101 if Statistics 202 has been
completed.)
301 Statistical Methods
Descriptive statistics, sampling procedures, simulation,
estimation of parameters, tests of hypotheses, nonparametric
methods, regression, and correlation. (1)
Lecture: 3 hrs/wk.
Prerequisite: Mathematics 122.
(Offered in 2003-2004 and alternate years.)
401 Mathematical Statistics
Probability, discrete and continuous distributions, moments
and moment-generating functions, sampling theory, and
estimation. (1)
Lecture: 3 hrs/wk.
Prerequisites: Mathematics 122 and Statistics 202.
(Offered in 2004-2005 and alternate years.)
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: Statistics 301.
(Offered in 2003-2004 and alternate years.)
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: Statistics 301.
(Offered in 2004-2005 and alternate years.)
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)