MATHEMATICS  (MTH) 

MTH     145 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 145and BUS 710 are MBA foundation courses.

 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 145 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.

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