MATH 213-501 STATISTICAL THINKING Descriptive and inferential analysis of data, emphasizing appropriate assumptions, computer use and interpretation. Parametric and non parametric methods will be compared and contrasted throughout the course. May not receive credit for more than one: MATH 150, 151, 155 or 213. Concurrent registration with MATH 214 is required. Prerequisites or corequisites: MATH 214 and 160 or 201. Three hours per week.

MATH 214-002 STATISTICS LABORATORY Laboratory activities to reinforce topics covered in MATH 213. Must be taken during the same semester that students register for MATH 213. Students having completed MATH 155 or equivalent may also take MATH 214. Two hours laboratory per week.

MATH 380-001 INTERNSHIP Students work under supervisors in a local firm or public institution in conjunction with an advisor from the math department. Cross-listed with COSC 380. MATH/COSC 380 may be taken twice for a maximum of six credits, but used only once toward a major in mathematics or computer science. Prerequisite: Approval of department chair. Eight-to-ten hours per week. (P/F)

MATH 413-001 MATHEMATICAL STATISTICS I Axioms and algebra of probability, discrete and continuous random variables, multivariate distributions, limit theorems. May be offered for undergraduate or graduate credit. Prerequisites: MATH 213, 310. Three hours per week.

MATH 502-001 APPLIED STATISTICS The use of linear models in the analysis of data, starting with simple models and going to more complex models. Special attention given to the use and abuse of these models by researchers. Graduate credit only. Prerequisite: A course in statistics (MATH 155 OR MATH 213). Three hours per week.

MATH 513-001 MATHEMATICAL STATISTICS I Axioms and algebra of probability, discrete and continuous random variables, multivariate distributions, limit theorems. May be offered for undergraduate or graduate credit. Prerequisites: MATH 213, 310. Three hours per week.

2015 Spring

MATH 155-517 MOD STATISTICS WITH COMPUT Descriptive and inferential analysis of raw data, emphasizing appropriate assumptions, computer use and interpretation. Consideration of parametric and nonparametric methods and comparison of their powers. Intended for students in the social and natural sciences. May not receive credit for more than one: MATH 150, 151, 155 or 213. Prerequisites: High school Algebra II and plane geometry. Three hours per week. Meets General education IVB or IVc (Prior to Fall 2008: IIIB or IIIC).

MATH 411-001 DESIGN & ANALYSIS OF EXPRMT Introduction to ideas of planning and designing statistical experiments involving data collection. Study of various statistical analyses for these designs. Discussion of optimal allocation of sampling units to treatments in order to provide the highest accuracy and lowest cost. Use standard statistical software packages such as Minitab and SPSS. Prerequisite: C or better in MATH 155 or 212, or permission of department. Three hours per week.

MATH 414-001 MATHEMATICAL STATISTICS II Methods of estimating, properties of estimator, hypothesis testing, linear models, least squares, analysis of variance, enumerative data, nonparametric statistics. May be offered for undergraduate or graduate credit. Prerequisite: MATH 413. Three hours per week.

MATH 502-601 APPLIED STATISTICS The use of linear models in the analysis of data, starting with simple models and going to more complex models. Special attention given to the use and abuse of these models by researchers. Graduate credit only. Prerequisite: A course in statistics (MATH 155 OR MATH 213). Three hours per week.

MATH 511-001 DESIGN & ANALYSIS OF EXPRMT Introduction to ideas of planning and designing statistical experiments involving data collection. Study of various statistical analyses for these designs. Discussion of optimal allocation of sampling units to treatments in order to provide the highest accuracy and lowest cost. Use standard statistical software packages such as Minitab and SPSS. Credit may not be received for both MATH 411 and MATH 511. Prerequisite: C or better in MATH 155 or 212, and graduate standing. Three hours per week.

MATH 514-001 MATHEMATICAL STATISTICS II Methods of estimating, properties of estimator, hypothesis testing, linear models, least squares, analysis of variance, enumerative data, nonparametric statistics. Credit may not be received for more than one: MATH 414, MATH 514. Prerequisite: MATH 413 or 513, staduate standing required. Three hours per week.

Visit the GullNet Logon Page
to logon and view the entire schedule of classes.

Wainwright, B. A., Tardiff, R. M. & Austin, H. W.
(2002).
Making statistics a full partner in mathematical sciences programs.
PRIMUS: Problems, Resources, & Issues in Mathematics Undergraduate Studies,12(1),
61-74.

Wainwright, B. A. & Austin, H. W.
(1997).
A perspective on teaching elementary statistics.
PRIMUS: Problems, Resources, & Issues in Mathematics Undergraduate Studies,7(2),
164-174.

Wainwright, B. A., Barzilai, H., & Austin, H. W. (2004). Authentic curriculum for inservice math teachers: Modified lesson plans Presented at MD-DC-VA Section of the MAA