This course may be taken prior to or during the same term.

College: | Hal Marcus College of Science and Engineering |

STA 2023 Elements of Statistics

3 sh (may not be repeated for credit)

Prerequisite: MAC 1105* OR MAC 1114* OR MAC 1140* OR MAT 1033* OR MGF 1106* OR MGF 1107* OR 22 ACT Math OR 520 SAT Math

Fundamental statistical concepts. Probability, inference, estimation, hypothesis testing.
Satisfies Florida Common Core Mathematics requirement.
Meets Gordon Rule Applied Mathematics Requirement.

STA 3162C Applied Statistics

4 sh (may not be repeated for credit)

Prerequisite: MAC 2311

Inferential statistics from an applied point of view. Probability and sampling distributions, confidence intervals and hypothesis testing, ANOVA, correlation, simple and multiple linear regressions. SAS computer techniques. Lab required.
Meets Gordon Rule Applied Mathematics Requirement.

STA 3905 Directed Study

1-12 sh (may be repeated indefinitely for credit)

STA 4173 Biostatistics

3 sh (may not be repeated for credit)

Prerequisite: STA 2023

A second course in statistics for students in the Biological Sciences. Topics covered include analysis of variance, regression analysis, nonparametric statistics, contingency tables. Offered concurrently with STA 5176; graduate students will be assigned additional work.
Meets Gordon Rule Applied Mathematics Requirement.

STA 4321 Introduction to Mathematical Statistics I

3 sh (may not be repeated for credit)

Prerequisite: MAC 2312

Probability, conditional probability, distributions of random variables, distribution of functions of random variables, limiting distributions, multivariate probability distributions. Offered concurrently with MAP 5XX1 (Introduction to Mathematical Statistics I); graduate students will be assigned additional work.
Meets Gordon Rule Applied Mathematics Requirement.

STA 4322 Mathematical Statistics II

3 sh (may not be repeated for credit)

Prerequisite: STA 4321

Point and interval estimates, measures of quality of estimates, Bayesian estimates, robust estimation, statistical hypothesis testing, including goodness of fit, contingency tables and ANOVA, SPR test, the Cramer-Rao inequality, multiple comparisons, completeness, distributions of quadratic forms, multivariate normal distributions. Offered concurrently with STA 5326; graduate students will be assigned additional work.
Meets Gordon Rule Applied Mathematics Requirement.

STA 4664 Introduction to Statistical Quality Control

3 sh (may not be repeated for credit)

Prerequisite: STA 2023

Covers control charts, capability indices, and related topics used in process control.
Meets Gordon Rule Applied Mathematics Requirement.

STA 4905 Directed Study

1-12 sh (may be repeated indefinitely for credit)

STA 5166 Special Topics in Statistics

3 sh (may not be repeated for credit)

Introduction to one- and two-way ANOVA; nonparametric methods, correlation and linear regression analysis. Introduction to SAS.

STA 5176 Statistical Modeling

3 sh (may not be repeated for credit)

A second course in statistics for students in the Mathematical Sciences Graduate Program. Topics covered include analysis of variance, regression analysis, nonparametric statistics, contingency tables. Students will use matrix algebra to derive some properties of regression diagnostics, in addition to using the method of least squares to derive optimal estimators in linear models. This
course is offered concurrently with STA 4173; graduate students will be assigned additional work.

STA 5326 Mathematical Statistics II

3 sh (may not be repeated for credit)

Point and interval estimates, measures of quality of estimates, Bayesian estimates, robust estimation, statistical hypothesis testing, including goodness of fit, contingency tables and ANOVA, SPR test, the Cramer-Rao inequality, multiple comparisons, completeness, distributions of quadratic forms, multivariate normal distributions. Offered concurrently with STA 4322; graduate students will be assigned additional work.

STA 5905 Directed Study

1-12 sh (may be repeated indefinitely for credit)

STA 6235 Modeling in Regression

3 sh (may not be repeated for credit)

Prerequisite: STA 5176

Several advanced topics in regression are covered, such as nonlinear regression, influence diagnostics, Eigensystem analysis of X?X matrix, logistic regression, ridge regression, robust regression, and generalized linear models.

STA 6246 Design and Analysis of Experiments

3 sh (may not be repeated for credit)

Further concepts in design and analysis of planned experiments with emphasis on confounding and fractional replications of factorial experiments; composite designs; incomplete block designs; estimation of variance components.

STA 6507 Nonparametric Statistics

3 sh (may not be repeated for credit)

Extensive coverage of goodness-of-fit tests, location problems, association analysis and general nonparametric topics.

STA 6607 Operations Research I

3 sh (may not be repeated for credit)

Mathematical probability models and distributions; linear programming models; the simplex method; duality and sensitivity analysis; inventory models; queuing theory; simulation.

STA 6666 Statistical Quality Control I

3 sh (may not be repeated for credit)

Procedures used in acceptance sampling and statistical process control are based on concepts and theory from probability and statistics. Introduces the applications of these procedures, investigates them from the standpoint of their statistical properties and develops the methodology for construction, evaluation and comparison of procedures.

STA 6707 Multivariate Methods

3 sh (may not be repeated for credit)

Prerequisite: STA 5206

Multivariate extensions of Chi-Square and t-tests; discrimination and classification procedures; applications to diagnostic problems in biological, medical, anthropological and social research; multivariate analysis of variance; factor analysis and principle components analysis.

STA 6905 Directed Study

1-12 sh (may be repeated indefinitely for credit)

STA 6912 Statistics Research 1

3 sh (may not be repeated for credit)

This course gives students the opportunity to engage in group and independent research projects. Research topics and materials vary according to instructor. Technical reports and oral presentations are expected of each student. Students must have completed 15 hours of graduate course work in the program and have maintained at least a 3.0 GPA. Students must also commit to both fall and spring sections of the course.

STA 6913 Statistics Research 2

3 sh (may not be repeated for credit)

Prerequisite: STA 6912

This course gives students the opportunity to engage in group and independent research projects. Research topics and materials vary according to instructor. Technical reports and oral presentations are expected of each student.

STA 6930 Proseminar in Statistics

1 sh (may not be repeated for credit)

Each M.A. candidate (except those who choose the thesis option), shall, under the direction of a project advisor, independently investigate a topic or topics in mathematics/statistics or mathematics education through the study of journal articles or other appropriate sources. The candidate shall submit a formal written report and make an oral presentation of the results of his/her investigations. The goal of the proseminar is to provide students an opportunity to integrate the total experience gained during their graduate training. Graded on satisfactory / unsatisfactory basis only. MA candidacy and permission is required.

STA 6971 Thesis

1-6 sh (may be repeated for up to 8.000 sh of credit)

Graded on satisfactory / unsatisfactory basis only. Permission is required.

* | This course may be taken prior to or during the same term. |