MATHEMATICS (MTH)
MTH 205 Cr. 4
Elementary Statistics
An introductory course
covering fundamentals of modern statistical methods. Topics include
descriptive statistics, the binomial and normal distributions,
estimation, and hypothesis testing. The z, t, F and chi-square test
statistics are introduced. Instruction in computer use is included,
and statistics software is used throughout the course for analyzing
data files and carrying out statistical procedures. Prerequisite: MTH
050 or equivalent placement.
MTH 205 is an MBA foundation course.
MTH 305/505 Cr. 3
Statistical Methods
A survey of statistical
methods from the point of view of how these methods are implemented
with a standard statistics software package. Topics include
descriptive statistics, graphical methods, tests of location,
goodness of fit, simple and multiple regression, design of
experiments, ANOVA, multiple comparisons, chi-square tests. Both
parametric and nonparametric methods are treated. Computer use is an
integral part of the course. Prerequisite: MTH 205 or 250 or 341. Not
applicable to a mathematics major. May be applied only to mathematics
and statistics minors. Offered Sem. I.
MTH 444/544 Cr. 3
Introduction to Sampling
Methodology of simple random
sampling, stratified sampling, systematic sampling, cluster sampling,
and multistage sampling is developed and applications related to
physical, social, and biological sciences are given. Single and two
variable estimation techniques are discussed. Prerequisite: MTH
305/505 or 341. Offered Sem. I, odd-numbered years.
MTH 445/545 Cr. 3
Correlation and Regression Analysis
An introduction to simple
linear regression, multiple regression, polynomial regression.
Inferences, appropriateness of model, model diagnostics/adequacy,
difficulties in the application of models are discussed. A computer
package will be used. Course participants will be involved with
hands-on statistical applications and consulting. Prerequisite: MTH
305/505 or 341. Offered Sem. I, even-numbered years.
MTH 446/546 Cr. 3
Analysis of Variance and Design of Experiments
An introduction to single
factor, and randomized block designs in analysis of variance.
Inferences, appropriateness of model, model diagnostics/adequacy,
difficulties in the application of models are discussed. Design or
structure of an experiment will be discussed. A computer package will
be used. Course participants will be involved with hands-on
statistical applications and consulting. Prerequisite: MTH 305/505 or
341. Offered Sem. II, odd-number years.
MTH 447/547 Cr. 3
Nonparametric Statistics
An introductory course
presenting the theory and procedures for using distribution-free
methods in data analysis. Standard procedures, such as the Wilcoxon
tests, Kruskal-Wallis, Kolmogorov-Smirnov, nonparametric confidence
intervals, regression analysis, and powers of the tests will be
included. Computer programs will be used when appropriate.
Prerequisite: MTH 305/505
or 341. Offered Sem. II, even-numbered years.
MTH 495/595 Cr. 1-3
Special Topics in Mathematics
Special topics in mathematics
not covered by regular courses taught in this department, such as
topology, set theory and advanced numerical analysis. The particular
topic is decided mutually by the students and the instructor.
Prerequisite: written consent of the department chair. Repeatable for
credit -- maximum 6.
MTH 697 Cr. 1-3
Special Topics in Mathematics
Special topics in mathematics,
mathematics education and statistics not covered by regular courses
taught in the mathematics department. The
particular topic selected to be determined by the mathematics
department according to need and interest. Prerequisite: written
consent of the department chair. Repeatable for credit.
MTH 796 Cr. 1-3
Directed Studies
Directed readings or
presentation of special topics in mathematics. Prerequisite: consent
of the instructor. Repeatable for credit -- maximum 6.