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2010-2012 Undergraduate Catalog
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Dr. Mike Conerly, 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 (61 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); and at least 4 hours in natural science, 3 hours of fine arts, literature, or humanities, and 3 hours of history or social and behavioral sciences. 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. 3 hours.
Prerequisites: CS 102 and MATH 112 or equivalents.

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. 3 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 410 Concepts of Probability. 3 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. 3 hours.
Prerequisite: ST 410 or MATH 355 or equivalent.

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. 3 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. 3 hours.
Prerequisite: ST 450 or ST 260.

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 452 Applied Regression Analysis. 3 hours.
Prerequisite: ST 260, ST 450.

Modeling issues for multiple linear regression are discussed in the context of data analysis. These include the use of residual plots, transformations, hypothesis tests, outlier diagnostics, analysis of covariance, variable selection techniques, weighted least squares, and collinearity. The uses of logistic regression are similarly discussed for dealing with binary-valued independent variables.

ST 465 Sampling Techniques. 3 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 491 Independent Study in Statistics. 1-3 hours.

Students may earn degree credit for only one independent study course (491).

ST 492 Internship. 1-3 hours.
Prerequisites: Junior or senior standing and a grade point average of 2.5 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. 3 hours.

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