Radford University Undergraduate Catalog, 2011-2012

not satisfy requirements for major in mathematics.
Students who have received credit for any
of STAT 205, 208, or 211 may not receive credit
for STAT 200.”
STAT 301:302. Probability and
Statistics I and II. (3)
Three hours lecture.
Prerequisites: MATH 152.
Introduction to the basic concepts of probability.
A survey of the most common probability
distributions. Introduction to the use of statistical
techniques with particular application to
physical and biological sciences. Students who
have received credit for STAT 410:411 cannot
also receive credit for STAT 301:302.
STAT 320. Methods of Non-Parametric
Statistics. (3)
Three hours lecture.
Prerequisite: STAT 200 or 301.
Examines distribution-free analogs of many
classical statistical tests. Topics include tests
based on binomial distribution, tests based on
Fisher’s method of randomization, goodness of
fit tests, two sample tests, and correlation procedures.
Modern computer software will be used
to analyze real world data.
STAT 420. Modern Regression Analysis. (3)
Three hours lecture.
Prerequisite: STAT 302.
Fundamental concepts in modern regression diagnostics.
Choice of best subset model using
cross validation methods. Study of collinearity
and methods for combating collinearity. Use of
residuals in regression diagnostics. Detection of
high influence data points. Use of modern computer
software.
STAT 421. Design of Experiments. (3)
Three hours lecture.
Prerequisite: STAT 302.
Theory of analysis of variance and covariance;
fixed and random effects models; completely
randomized design; randomized block design,
Latin square design, factorials; split-plot design
and response surface design.
STAT 430. Statistical Packages. (3)
Two hours lecture; two hours laboratory.
Prerequisite: STAT 200 or 301.
Consideration of statistical packages available
at Radford University. Topics include
accessing the system, editing, describing data sets
via summary statistics and graphical displays, testing
hypotheses in the normal theory one and two
sample cases, simple linear regression and correlation.
Both SAS and SPSS are studied.
STAT 431. Statistical Consulting. (3)
Three hours lecture.
Prerequisites: STAT 302.
Lectures will provide information on communication
skills and the process of conducting a
statistical consultation. Practical experience in
applied statistics and statistical computing will
be obtained by active participation in consultations
and by working under faculty supervision
with clients from the university community.
STAT 480. Topics in Statistics. (3)
Three hours lecture.
Prerequisite: Permission of instructor.
Special topics in statistics, as student and faculty
interest demands; syllabus is available each
time the course is offered. Interested students
should contact the department chairperson and
the course instructor before registering. May be
repeated for credit with a different topic.
STAT 488. Final Honors Project. (2-3)
Prerequisites: Major in mathematics, enrollment
in the Honors Academy, completion of all
other Honors Academy requirements, a minimum
3.5 GPA in all courses and in mathematics
and statistics, senior standing.
Topics in statistics determined by the student,
the faculty member with whom the student
works and the department. In order to receive
honors credit, a student must earn a grade of A
or B for the final project. Course may not be repeated.
See “Honors Academy” on p. 80.
STAT 498. Independent Study. (1-6)
See “Independent Study” on p. 53.
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