145 Cr. 4
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 145and BUS
710 are MBA foundation courses.
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 145 or 250 or 341. Not applicable to a mathematics
major. May be applied only to mathematics and statistics minors. Offered Sem. I.
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.
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
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.
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.
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.
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.
796 Cr. 1-3
Directed readings or presentation of
special topics in mathematics. Prerequisite: consent of the instructor.
Repeatable for credit ? maximum 6.
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Modified:June 13, 2012