Dr. Edward R. Mansfield, Department Chair
Office: 300 Alston Hall
Students interested in majoring in statistics should follow Option II of the Program in Operations Management.
In addition to completing the specific prerequisites included in the descriptions of the following courses, all students seeking to enroll in 300- or 400-level courses in the Culverhouse College of Commerce and Business Administration must have attained junior standing, which is defined for purposes of this policy as having earned 55 semester hours.
All C&BA students must, prior to seeking to enroll in any 300- or 400-level C&BA course, complete or be enrolled in the following prerequisites: EC 110 and EC 111; MATH 112 and MATH 121, or MATH 115 and MATH 125; CS 102; AC 210; ST 260; and LGS 200 (or their equivalents). Failure to fulfill all prerequisites prior to enrolling in a 300- or 400-level C&BA course will result in administrative disenrollment from that course.
ST 260 Statistical Data Analysis. Three hours.
Introduction to the use of basic statistical concepts in business applications. Topics include extensive graphing; descriptive statistics; measures of central tendency and variation; regression, including transformations for curvature; sampling techniques; designs; conditional probability; random variables; probability distributions; sampling distributions; confidence intervals; and statistical inference. Computer software applications are utilized extensively. Emphasis throughout the course in on interpretation.
ST 310 Intermediate Statistical Methods. Three hours.
Data-analysis course in which students use statistical methods to gather, analyze, and interpret data. Coverage of topics is more complete than in introductory courses.
ST 405 Mathematics for Quantitative Analysis. Three hours.
Prerequisite: MATH 121.
Differential and integral calculus, maxima, curve tracing, sequences and series, and vectors and matrices.
ST 410 Concepts of Probability. Three hours.
Prerequisite: MATH 126.
Fundamental concepts and theory of probability. Sample spaces, random variables, probability distributions, moments and moment-generating functions, and sampling distributions.
ST 411 Statistical Inference. Three hours.
Theory of point and interval estimation, hypothesis testing, chi square tests, correlation, regression, and analysis of variance. Includes some applications.
ST 450 Statistical Methods in Research I. Three hours.
Development of fundamental concepts of organizing, exploring, and summarizing data; probability; common probability distributions; sampling and sampling distributions; estimation and hypothesis testing for means, proportions, and variances using parametric and nonparametric procedures; power analysis; goodness of fit; contingency tables. Statistical software packages are used extensively to facilitate valid analysis and interpretation of results. Emphasis is on methods and on selecting proper statistical techniques for analyzing real situations.
ST 451 Statistical Methods in Research II. Three hours.
Analysis of variance and design of experiments, including randomization, replication, and blocking; multiple comparisons; correlation; simple and multiple regression techniques, including variable selection, detection of outliers, and model diagnostics. Statistical software packages are used extensively to facilitate valid analysis and interpretation of results. Emphasis is on appropriate analysis of data in real situations.
ST 465 Sampling Techniques. Three hours.
Prerequisite: ST 260 or equivalent.
Planning, execution, and evaluation of sample surveys. Simple, random, stratified, and cluster sampling; multistage and systematic sampling; questionnaire design; cost functions; and optimal designs. Teams plan, perform, and analyze actual sample surveys.
ST 475 Statistical Quality Control. Three hours.
Prerequisite: ST 260 or equivalent.
Statistical methods useful in control of quality of manufactured products. Topics include Shewhart and cumulative sum control charts; process capability analysis; and acceptance sampling procedures by attributes and variables. Emphasis is on understanding, design, implementation, and interpretation of these techniques.
ST 491 Independent Study in Statistics. Three hours.
Students may earn degree credit for only one independent study course (491).
ST 492 Internship. Three hours.
Prerequisites: Junior or senior standing and a grade point average of 2.50 or higher. Students may earn degree credit for only one internship (492).
Students are selected through a competitive process for assignments in approved business or public-sector organizations. The internship is administered through the C&BA Office of Student Services.
ST 497 Special Topics. Three hours.