MTH 205 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 205 is an MBA foundation course.
MTH 305/505 Cr. 3
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.
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 342. Offered
Sem. I, odd-numbered years.
MTH 445/545 Cr. 3
General Linear Models with Applications in Regression and Analysis of Variance
A brief review of simple linear regression, introduction to General Linear Models (GLM), applications of GLM in multiple regression, polynomial regression, single factor and two-factor Analysis of Variance (ANOVA). Inferences, appropriateness of model, auto-correlation and multi-collinearity are discussed. A brief introduction to Analysis of Covariance is given. A computer package is used. Prerequisite: MTH 305/505 or 342. Offered Sem. II, odd-numbered years.
MTH 447/547 Cr. 3
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 342. Offered Sem. I, 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 readings or presentation of special topics in mathematics. Prerequisite: consent of the instructor. Repeatable for credit maximum 6.