Courses Descriptions

110 - Fundamentals of Statistics—3 S.H.

Introductory statistics with emphasis on applications. NOTE: Students in certain majors should take STAT 210 instead of STAT 110. Prerequisite: Qualifying score on the mathematics placement exam or MATH 050.

115 - Laboratory in Statistics—1 S.H.

This course will provide experience in collecting data, analyzing data, and the writing of statistical reports. Students will study statistical concepts through activities and projects which involve the collecting and analyzing of data. Techniques for summarizing, analyzing and interpreting large sets of data will also be discussed. Emphasis will be on practical problem-solving with real data sets using appropriate computer software packages. Prerequisite: completion of any introductory statistics course or instructor’s permission.

210 - Statistics—3 S.H.

First course in statistics for students with a strong mathematics background. Prerequisites: MATH 140 or MATH 160.

250 – Actuarial Exam Preparation—2 S.H.

This is an independent study course designed to help students with actuarial exam preparation. Students enrolled in this course are required to take the appropriate exam at the date nearest completion of this course. Course cannot be applied toward fulfilling major or minor program requirements. Prerequisites: instructor’s permission. Offered on demand.

255 – Data Management Using SAS—3 S.H.

An introduction to the statistical package SAS. The course will focus on DATA step programming and selected basic PROC routines, with an introduction to SAS/GRAPH if time permits. Prerequisite: STAT 110 or equivalent. Offered spring semester.

289 - Special Topics—1-3 S.H.

Exposure to lower-division statistical topics not included in other courses. Prerequisite: determined by topics. Offered on demand.

290 – Independent Problems in Statistics 1—4 S.H.

Exposure to statistical topics not included in other courses. Prerequisite: instructor’s permission. Offered on demand.

303 - Introduction to Engineering Statistics—3 S.H.

Introduction to statistics and quality control concepts and techniques. Topics include graphical techniques, descriptive statistics, probability distributions, hypothesis testing, control charts, process capability studies, and additional topics in total quality management. Credit will not be given for both STAT 210 and STAT 303. Prerequisite: MATH 160. Offered fall semester.

305 - Biometry—3 S.H.

An introductory course of statistical applications to the biological sciences. Data reduction, sampling, techniques of estimation, hypothesis testing, and model verification procedures are included. Diversity indices, techniques of species sampling, and other specific biometric methods will be covered. Prerequisite: MATH 120 or MATH 150 or instructor’s permission. (Cannot be used as a MATH or STAT elective for mathematics, mathematics education or statistics majors.)

310 - Intermediate Statistics—3 S.H.

A second course in statistics covering regression, measures of association, and analysis of variance. Interpretation of computer output and applications will be emphasized throughout. Prerequisites: STAT 110, STAT 210, STAT 303, STAT 305, PSY 231 or equivalent. Credit will not be given for STAT 310 if the student has completed STAT 360 or STAT 365.

320 - Statistical Quality Control—3 S.H.

An introduction to the basic philosophy of quality control and statistical tools used in quality control. Tools to include control charts, Ishikawa fishbone charts, Pareto charts, histograms, stem-and-leaf plots and dot plots. There will be industrial case studies and tours of local industries (when available). Prerequisite: an introductory statistics course (preferably STAT 210). Offered fall semester.

321 - Industrial Design of Experiments I—3 S.H.

An introduction to applications of statistical methods used by industrial researchers to aid in the solution of certain types of industrial problems. Methods to include analysis of means, analysis of variance, factorial designs, fractional factorial (screening) designs. There will be industrial case studies and actual (hands-on) experience at local industries (when available). Prerequisite: an introductory statistics course (preferably STAT 210). Offered spring semester.

322 - Industrial Design of Experiments II—3 S.H.

A second course in experimental design methods in industry. Topics may include empirical model building, review of factorial and fractional factorial designs, process improvement with steepest ascent, analysis of response surfaces, experimental designs for fitting response surfaces, Taguchi’s robust parameter designs, experiments with mixtures. Prerequisite: STAT 321 or instructor’s permission. Offered on demand.

350 - Design of Samples and Surveys—3 S.H.

Practical problems of surveys. Design of optimal surveys. Questionnaire design. Practical problems of sampling. Design of optimal sampling procedures. Adapting standard statistical techniques to specialized sampling design. Prerequisites: an introductory statistics course (preferably STAT 210) and MATH 120. Offered fall semester.

355 - Nonparametric Statistics—3 S.H.

Statistical methods based on runs, the empirical distribution function and ranks. Topics will include one and two sample tests, ANOVA, goodness of fit tests, rank regression, correlation, and confidence intervals. Both applications and theory emphasized. Prerequisite: STAT 110 or STAT 210. Offered alternate fall semesters.

360 - Regression Analysis—3 S.H.

Simple linear regression, multiple regression, hypothesis testing, analysis of residuals, stepwise regression. Interpretation of computer output will be emphasized. Prerequisites: an introductory statistics course (preferably STAT 210) and MATH 120 and completion of or concurrent enrollment in MATH 130 or MATH 270 is recommended. Offered fall semester.

365 - Experimental Design and Analysis—3 S.H.

One-way Analysis of Variance, planned comparisons, post-hoc procedures, two- and three-way Analysis of Variance, experimental design, Analysis of Covariance. Interpretation of computer output will be emphasized. Prerequisites: An introductory statistics course (preferably STAT 210) and MATH 120. STAT 360 is recommended. Offered spring semester.

415 - Multivariate Analysis—3 S.H.

Statistical analysis of multivariate data. Topics will include preparation of data for analysis, selection of techniques appropriate to research questions, measures of association for continuous and discrete variables, Hotelling’s T, MANOVA, MANCOVA, discriminant analysis, principal component and factor analysis. This is a computer-oriented course with emphasis on application. Prerequisites: MATH 130 or MATH 270, STAT 360 or instructor’s permission. Offered alternate spring semesters.

425 – Modern Methods of Data Analysis—3 S.H.

An introduction to the use of the computer as a powerful tool in data analysis. Topics will include statistical graphics, advanced regression techniques, curve fitting and smoothing, generalized additive models, CART, multivariate techniques, cross-validation and the bootstrap. Additional topics that may be covered are random number generation and Monte Carlo simulation methods. Prerequisites: MATH 165 and STAT 360. Offered alternate spring semesters.

440 - Epidemiology—3 S.H.

A general introduction to the concepts and methods of epidemiology as they are applied in a variety of disease situations. Topics include modeling the disease process in a population; retrospective, prospective and observational studies; rates, ratios and data interpretation; and evaluation of epidemiological information. Prerequisite: an introductory statistics course. Offered spring semester.

450, 460 - Introduction to Mathematical Statistics I, II—Each 3 S.H.

A mathematical approach to probability and statistics. Prerequisite: MATH 260 and completion of or concurrent enrollment in MATH 220. Offered alternate school years, as a fall/spring sequence.

455 - Stochastic Processes—3 S.H.

An introduction to stochastic processes. Topics will include underlying probability theory, random variables, conditioning, Markov chains, exponential distribution, and Poisson processes. Both applications and theory will be emphasized. Prerequisite: STAT 450. Offered alternate spring semesters.

488 - Statistics Projects—1-6 S.H.

Practical experience working on real problems under the supervision of a faculty member experienced in statistics. Prerequisite: instructor’s permission. Offered on demand.

489 - Special Topics—1-3 S.H.

Exposure to statistical topics not included in other courses. Prerequisite: determined by topics. Offered on demand.

490 - Independent Problems in Statistics—1-4 S.H.

An opportunity for continued study of selected topics. Prerequisite: instructor’s permission. Offered on demand.

492 - Practicum in Statistics—3-6 S.H.

Provides the student with experience and training in statistical techniques. The student will work a minimum of 100 hours (3 credits) or a minimum of 200 hours (6 credits) on a job utilizing statistics. Prerequisite: instructor’s permission. P/NC only. Offered on demand.