Statistics (STAT)

Courses

STAT 0826. Statistics in the News. 4 Credit Hours.

Through discussion of approximately 50 news articles, learn basic principles of statistics. This course focuses on the relevance, interpretation and usage of statistics in the news media. It has no quantitative prerequisites and involves more reading than math aptitude. Statistics deals with the study of variability, uncertainty, and decision-making, and has applicability to most other disciplines and everyday life. NOTE: This course fulfills the Quantitative Literacy (GQ) requirement for students under GenEd and a Quantitative Reasoning (QA or QB) requirement for students under Core.

Course Attributes: GQ

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
MATH 0701 to 0702| Required Courses:1|Minimum Grade of C-|May not be taken concurrently
OR MATH 0800 to 1041| Required Courses:1|Minimum Grade of C-|May be taken concurrently
OR MC3 Y|May not be taken concurrently
OR MC4 Y|May not be taken concurrently
OR MC5 Y|May not be taken concurrently
OR MC6 Y|May not be taken concurrently
OR MC3A Y|May not be taken concurrently
OR MC6A Y|May not be taken concurrently
OR STAT 1001|Minimum Grade of C-|May be taken concurrently
OR STT2 Y|May not be taken concurrently
OR STAT 1102|Minimum Grade of C-|May be taken concurrently
OR STAT 1902|Minimum Grade of C-|May be taken concurrently.

STAT 0827. Statistical Reasoning & Games of Chance. 4 Credit Hours.

This is a beginning course in probability and statistics with special emphasis on the critical analysis of games of chance. The objectives of the course are to introduce several quantitative concepts with real-life applications. These applications are related to situations that involve fallacies in reasoning, equity markets and games of chance. NOTE: This course fulfills the Quantitative Literacy (GQ) requirement for students under GenEd and a Quantitative Reasoning (QA or QB) requirement for students under Core.

Course Attributes: GQ

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
MATH 0701 to 0702| Required Courses:1|Minimum Grade of C-|May not be taken concurrently
OR MATH 0800 to 1041| Required Courses:1|Minimum Grade of C-|May be taken concurrently
OR MC3 Y|May not be taken concurrently
OR MC4 Y|May not be taken concurrently
OR MC5 Y|May not be taken concurrently
OR MC6 Y|May not be taken concurrently
OR MC3A Y|May not be taken concurrently
OR MC6A Y|May not be taken concurrently
OR STAT 1001|Minimum Grade of C-|May be taken concurrently
OR STT2 Y|May not be taken concurrently
OR STAT 1102|Minimum Grade of C-|May be taken concurrently
OR STAT 1902|Minimum Grade of C-|May be taken concurrently.

STAT 1001. Quantitative Methods for Business I. 3 Credit Hours.

Fundamentals of finite mathematics necessary for a business student to pursue statistics and other quantitatively oriented business courses. Topics and illustrations are specifically directed to applications in business and economics. Topics include algebraic concepts; linear, quadratic, polynomial and rational functions; logarithm and exponential functions; elementary matrix manipulations. Fitting of curves, interest rate calculations, present and future values of annuities are some of the specific applications. Use of a graphic calculator. NOTE: (1) This course can be used to satisfy the university Core Quantitative Reasoning A (QA) requirement. Although it may be usable towards graduation as a major requirement or university elective, it cannot be used to satisfy any of the university GenEd requirements. See your advisor for further information. (2) Prior to fall 2014, the course title was "Pre-Calculus for Business."

Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Actuarial Science, Business Management, Business Basics, Economics, Entrprnrship & Innovation Mgt, Entrepreneurship, Finance, Financial Planning, Horticulture, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Pre Business, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Undeclared-Business & Mngt, Undeclared-University Studies

Course Attributes: QA

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
MATH 0701 to 0702| Required Courses:1|Minimum Grade of C-|May not be taken concurrently
OR STA1 Y|May not be taken concurrently
OR STA2 Y|May not be taken concurrently
OR MATH 1011|Minimum Grade of C-|May not be taken concurrently
OR MATH 1021|Minimum Grade of C-|May not be taken concurrently
OR ST1A Y|May not be taken concurrently
OR ST2A Y|May not be taken concurrently.

STAT 1102. Quantitative Methods for Business II. 3 Credit Hours.

Continuation of Statistics 1001 (C011). Introduction to Differential and Integral Calculus. Topics include functions and graphs, differentiation of polynomial, logarithmic, exponential, and rational functions. Higher order derivatives with applications, maximum and minimum, break-even analysis and market equilibrium. Integration: antiderivative and the definite integral with applications to marginal analysis and other problems in business and economics. Use of a graphic calculator. NOTE: (1) Math C075 (taken prior to Summer 2007 session) and some other higher level Math courses can substitute for Statistics 1102. Please check with your academic advisor when making your course selection. (2) This course can be used to satisfy the university Core Quantitative Reasoning B (QB) requirement. Although it may be usable towards graduation as a major requirement or university elective, it cannot be used to satisfy any of the university GenEd requirements. See your advisor for further information. (3) Prior to fall 2014, the title of STAT 1102 was "Calculus for Business."

Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Actuarial Science, Business Management, Economics, Entrprnrship & Innovation Mgt, Entrepreneurship, Finance, Financial Planning, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Pre Business, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Undeclared-Business & Mngt, Undeclared-University Studies

Course Attributes: QB

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
MATH 1022|Minimum Grade of C-|May not be taken concurrently
OR STAT 1001|Minimum Grade of C-|May not be taken concurrently
OR STA2 Y|May not be taken concurrently
OR STT2 Y|May not be taken concurrently
OR ST2A Y|May not be taken concurrently.

STAT 1902. Honors Quantitative Methods for Business II. 3 Credit Hours.

Continuation of Statistics 1001 (C011). Introduction to Differential and Integral Calculus. Topics include functions and graphs, differentiation of polynomial, logarithmic, exponential, and rational functions. Higher order derivatives with applications, maximum and minimum, break-even analysis and market equilibrium. Integration: antiderivative and the definite integral with applications to marginal analysis and other problems in business and economics. Use of a graphic calculator. NOTE: (1) Math C075 (taken prior to Summer 2007 session) and some other higher level Math courses can substitute for Statistics 1902. Please check with your academic advisor when making your course selection. (2) This course can be used to satisfy the university Core Quantitative Reasoning B (QB) requirement. Although it may be usable towards graduation as a major requirement or university elective, it cannot be used to satisfy any of the university GenEd requirements. See your advisor for further information. (3) Prior to fall 2014, the title of STAT 1902 was "Honors Calculus for Business."

Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Actuarial Science, Business Management, Economics, Entrprnrship & Innovation Mgt, Entrepreneurship, Finance, Financial Planning, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Undeclared-Business & Mngt, Undeclared-University Studies
Cohort Restrictions: Must be enrolled in one of the following Cohorts: SCHONORS, UHONORS, UHONORSTR

Course Attributes: HO, QB

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
MATH 1022|Minimum Grade of C-|May not be taken concurrently
OR STAT 1001|Minimum Grade of C-|May not be taken concurrently
OR STA2 Y|May not be taken concurrently
OR STT2 Y|May not be taken concurrently
OR ST2A Y|May not be taken concurrently.

STAT 2103. Statistical Business Analytics. 4 Credit Hours.

This course provides students with the fundamental concepts and tools needed to understand the role of statistics and business analytics in organizations. It covers basic descriptive statistics, probability, and statistical inference. Topics include probability distributions, random sampling and sampling distributions, point and interval estimation, and hypothesis testing. The course also covers hypothesis testing for several populations, correlation, simple linear regression, multiple regression, and an introduction to data mining. Use of Excel for data analysis and inference. NOTE: This course is a four credit hour course which will substitute for Statistics 2101 (C021) and 2102 (0022) for Fox School students. Prior to fall 2014, the title for STAT 2103 was "Business Statistics."

Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Facilities Management, Actuarial Science, Business Management, Business, Construction Mgt Tech, Career and Technical Education, Economics, Entrprnrship & Innovation Mgt, Engineering, Engineering Technology, Entrepreneurship, Finance, Financial Planning, General Business Studies, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Pre Business, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Statistics, Undeclared-Business & Mngt

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
(MATH 1022|Minimum Grade of C-|May not be taken concurrently
OR STAT 1001|Minimum Grade of C-|May not be taken concurrently
OR STA2 Y|May not be taken concurrently
OR STT2 Y|May not be taken concurrently
OR MATH 1021|Minimum Grade of C-|May not be taken concurrently
OR ST2A Y|May not be taken concurrently)
AND (STAT 1102|Minimum Grade of C-|May not be taken concurrently
OR STAT 1902|Minimum Grade of C-|May not be taken concurrently
OR MATH 1031|Minimum Grade of C-|May not be taken concurrently
OR MATH 1041|Minimum Grade of C-|May not be taken concurrently
OR MATH 1941|Minimum Grade of C-|May not be taken concurrently
OR MATH 1038|Minimum Grade of C-|May not be taken concurrently
OR STT3 Y|May not be taken concurrently).

STAT 2104. Selected Topics in Statistical Business Analytics. 1 Credit Hour.

Statistics 2104 is a one credit hour course that covers probability rules, joint and conditional probability, inference, confidence intervals, hypothesis tests, two sample design, simple linear regression, inference for regression, and multiple regression. NOTE: This course is designed for transfer students who have successfully completed a 3 credit hour introductory statistics course. This one credit hour course will bridge the gap between a 3 credit hour introductory statistics course taken at another institution, and the 4 credit hour Statistics 2103 (Business Statistics) course at Fox. Prior to fall 2014, the title of STAT 2104 was "Selected Topics in Business Statistics."

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
(MATH 1022|Minimum Grade of C-|May not be taken concurrently
OR STAT 1001|Minimum Grade of C-|May not be taken concurrently
OR STA2 Y|May not be taken concurrently
OR STT2 Y|May not be taken concurrently
OR MATH 1021|Minimum Grade of C-|May not be taken concurrently
OR ST2A Y|May not be taken concurrently)
AND (STAT 1102|Minimum Grade of C-|May not be taken concurrently
OR STAT 1902|Minimum Grade of C-|May not be taken concurrently
OR MATH 1031|Minimum Grade of C-|May not be taken concurrently
OR MATH 1041|Minimum Grade of C-|May not be taken concurrently
OR MATH 1941|Minimum Grade of C-|May not be taken concurrently
OR MATH 1038|Minimum Grade of C-|May not be taken concurrently
OR STT3 Y|May not be taken concurrently)
AND (STAT 2101|Minimum Grade of C-|May not be taken concurrently
OR STAT 2901|Minimum Grade of C-|May not be taken concurrently
OR MATH 1013|Minimum Grade of C-|May not be taken concurrently
OR CEE 3048|Minimum Grade of C-|May not be taken concurrently
OR PSY 1167|Minimum Grade of C-|May not be taken concurrently
OR SOC 1167|Minimum Grade of C-|May not be taken concurrently
OR STAT 2512|Minimum Grade of C-|May not be taken concurrently
OR PSY 2168|Minimum Grade of C-|May not be taken concurrently
OR ECE 3522|Minimum Grade of C-|May not be taken concurrently).

STAT 2501. Quantitative Foundations for Data Science. 3 Credit Hours.

This course will cover topics in linear algebra, matrix theory, advanced calculus, optimization and numerical techniques. This course will allow students to acquire knowledge necessary in understanding concepts in statistical theory and methods. Students will apply quantitative analysis, critical thinking and interpretation to real-life problems in diverse areas, like business, engineering, healthcare, etc.

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
(MATH 1041|Minimum Grade of C|May not be taken concurrently)
AND (MATH 1042|Minimum Grade of C|May not be taken concurrently).

STAT 2512. Intermediate Statistics. 3 Credit Hours.

This course covers the basics of statistical estimation theory, in preparation for further study in regression, time series analysis, and forecasting (as tested on the SOA/CAS Course 4 professional examination). Topics include: classical point estimation methods; construction of confidence intervals; tests of statistical hypotheses; and basic analysis of categorical data. NOTE: This course replaces the Statistics 2102 (0022) Business Core requirement for Actuarial Science majors.

Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Actuarial Science, Business Management, Economics, Entrprnrship & Innovation Mgt, Entrepreneurship, Finance, Financial Planning, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Statistics, Undeclared-Business & Mngt

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
AS 2101|Minimum Grade of C-|May not be taken concurrently
OR MATH 3031|Minimum Grade of C-|May not be taken concurrently
OR STAT 2103|Minimum Grade of C-|May not be taken concurrently
OR STAT 2903|Minimum Grade of C-|May not be taken concurrently
OR STAT 2104|Minimum Grade of C-|May not be taken concurrently.

STAT 2521. Data Analysis and Statistical Computing. 3 Credit Hours.

This course presents practical applications of statistical methods using software. The emphasis is on giving students experience in solving real life problems using appropriate statistical methods. Statistical techniques studied include organization and presentation of data, statistical testing, multiple regression, Chi-Square tests and logistic regression. Case studies and projects, with applications, are used to show the application of statistical methods to business problems. Through this course students should be able to select, utilize and apply quantitative statistical methods to real life problems, and get familiar with data analysis using statistical software. The main statistical software we use is SPSS. Students will also be exposed to other packages, such as Excel and R.

Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Actuarial Science, Business Management, Economics, Entrprnrship & Innovation Mgt, Entrepreneurship, Finance, Financial Planning, General Business Studies, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Statistics, Undeclared-Business & Mngt

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
STAT 2103|Minimum Grade of C|May not be taken concurrently
OR STAT 2903|Minimum Grade of C|May not be taken concurrently
OR MATH 3031|Minimum Grade of C|May not be taken concurrently
OR STAT 2104|Minimum Grade of C|May not be taken concurrently
OR SOC 1167|Minimum Grade of C|May not be taken concurrently
OR CEE 3048|Minimum Grade of C|May not be taken concurrently
OR PSY 1167|Minimum Grade of C|May not be taken concurrently
OR PSY 2168|Minimum Grade of C|May not be taken concurrently
OR AS 2101|Minimum Grade of C|May not be taken concurrently
OR ECE 3522|Minimum Grade of C|May not be taken concurrently
OR SOC 0825|Minimum Grade of C|May not be taken concurrently
OR ANTH 0825|Minimum Grade of C|May not be taken concurrently
OR POLS 0825|Minimum Grade of C|May not be taken concurrently
OR PSY 0825|Minimum Grade of C|May not be taken concurrently.

STAT 2522. Survey Design and Sampling. 3 Credit Hours.

This course presents the principal applications of sample surveys, survey design, criteria of a good sample design, and characteristics of simple random sampling, stratified random sampling, and cluster sampling. Case studies are used where appropriate to illustrate applications of survey sampling. Emphasis will be placed on both the theory and methodology of surveying and include sampling principles, sample design, questionnaire construction, and response problems.

Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Actuarial Science, Business Management, Economics, Entrprnrship & Innovation Mgt, Entrepreneurship, Finance, Financial Planning, General Business Studies, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Statistics, Undeclared-Business & Mngt

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
STAT 2103|Minimum Grade of C|May not be taken concurrently
OR STAT 2903|Minimum Grade of C|May not be taken concurrently
OR MATH 3031|Minimum Grade of C|May not be taken concurrently
OR STAT 2104|Minimum Grade of C|May not be taken concurrently
OR SOC 1167|Minimum Grade of C|May not be taken concurrently
OR CEE 3048|Minimum Grade of C|May not be taken concurrently
OR PSY 1167|Minimum Grade of C|May not be taken concurrently
OR PSY 2168|Minimum Grade of C|May not be taken concurrently
OR AS 2101|Minimum Grade of C|May not be taken concurrently
OR ECE 3522|Minimum Grade of C|May not be taken concurrently
OR SOC 0825|Minimum Grade of C|May not be taken concurrently
OR ANTH 0825|Minimum Grade of C|May not be taken concurrently
OR POLS 0825|Minimum Grade of C|May not be taken concurrently
OR PSY 0825|Minimum Grade of C|May not be taken concurrently.

STAT 2523. Design of Experiments and Quality Control. 3 Credit Hours.

The first part of this course provides students with insight into statistically designed experiments and related topics. The course covers the fundamental statistical concepts required for designing efficient experiments to answer real questions. The fundamental concepts of replication, blocking, and randomization are examined. Topics covered include block designs, balanced incomplete block designs, and Latin Square designs. Additional topics include factorial experiments, fractional factorial designs, and orthogonal arrays. The course also introduces students to response surface methodology, mixture designs, and conjoint analysis. Quality improvement can be accomplished using experimental design principles. The second part of the course covers the core principles of the management of quality in the production of goods and services. Statistical quality control techniques are used in the implementation of these principles. Topics covered include control charts, cusum procedures, and Taguchi methods.

Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Actuarial Science, Business Management, Economics, Entrprnrship & Innovation Mgt, Entrepreneurship, Finance, Financial Planning, General Business Studies, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Statistics, Undeclared-Business & Mngt

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
STAT 2103|Minimum Grade of C|May not be taken concurrently
OR STAT 2903|Minimum Grade of C|May not be taken concurrently
OR MATH 3031|Minimum Grade of C|May not be taken concurrently
OR STAT 2104|Minimum Grade of C|May not be taken concurrently
OR SOC 1167|Minimum Grade of C|May not be taken concurrently
OR CEE 3048|Minimum Grade of C|May not be taken concurrently
OR PSY 1167|Minimum Grade of C|May not be taken concurrently
OR PSY 2168|Minimum Grade of C|May not be taken concurrently
OR ECE 3522|Minimum Grade of C|May not be taken concurrently
OR SOC 0825|Minimum Grade of C|May not be taken concurrently
OR ANTH 0825|Minimum Grade of C|May not be taken concurrently
OR POLS 0825|Minimum Grade of C|May not be taken concurrently
OR PSY 0825|Minimum Grade of C|May not be taken concurrently
OR AS 2101|Minimum Grade of C|May not be taken concurrently.

STAT 2903. Honors Statistical Business Analytics. 4 Credit Hours.

This course provides students with the fundamental concepts and tools needed to understand the role of statistics and business analytics in organizations. It covers basic descriptive statistics, probability, and statistical inference. Topics include probability distributions, random sampling and sampling distributions, point and interval estimation, and hypothesis testing. The course also covers hypothesis testing for several populations, correlation, simple linear regression, multiple regression, and an introduction to data mining. Use of Excel for data analysis and inference. NOTE: This course is a four credit hour course which will substitute for Statistics 2101 (C021) and 2102 (0022) for Fox School students. Prior to fall 2014, the title of STAT 2903 was "Honors Business Statistics."

Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Facilities Management, Actuarial Science, Business Management, Business, Construction Mgt Tech, Career and Technical Education, Economics, Entrprnrship & Innovation Mgt, Engineering, Engineering Technology, Entrepreneurship, Finance, Financial Planning, General Business Studies, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Statistics, Undeclared-Business & Mngt
Cohort Restrictions: Must be enrolled in one of the following Cohorts: SCHONORS, UHONORS, UHONORSTR

Course Attributes: HO

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
(MATH 1022|Minimum Grade of C-|May not be taken concurrently
OR STAT 1001|Minimum Grade of C-|May not be taken concurrently
OR STA2 Y|May not be taken concurrently
OR STT2 Y|May not be taken concurrently
OR MATH 1021|Minimum Grade of C-|May not be taken concurrently
OR ST2A Y|May not be taken concurrently)
AND (STAT 1102|Minimum Grade of C-|May not be taken concurrently
OR STAT 1902|Minimum Grade of C-|May not be taken concurrently
OR MATH 1031|Minimum Grade of C-|May not be taken concurrently
OR MATH 1041|Minimum Grade of C-|May not be taken concurrently
OR MATH 1941|Minimum Grade of C-|May not be taken concurrently
OR MATH 1038|Minimum Grade of C-|May not be taken concurrently
OR STT3 Y|May not be taken concurrently).

STAT 3501. Statistics for Engineers. 3 Credit Hours.

Not to be taken by School of Business and Management students; open only to Engineering students. Descriptive statistics, inference, regression and correlation, and experimental design. Engineering applications.

College Restrictions: Must be enrolled in one of the following Colleges: Business & Mngmnt, Fox School

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
MATH 1041|Minimum Grade of C-|May not be taken concurrently
OR MATH 1941|Minimum Grade of C-|May not be taken concurrently
OR MATH 1038|Minimum Grade of C-|May not be taken concurrently.

STAT 3502. Regression and Predictive Analytics. 3 Credit Hours.

The course covers a variety of statistical methods useful in interdisciplinary research, such as simple and multiple regression analysis, ANOVA, analysis of covariance, logistic regression, and predictive models. Emphases are placed on rationales, assumptions, techniques, and interpretation of results from computer packages.

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
(STAT 2103|Minimum Grade of C|May not be taken concurrently
OR STAT 2903|Minimum Grade of C|May not be taken concurrently
OR MATH 3031|Minimum Grade of C|May not be taken concurrently
OR STAT 2104|Minimum Grade of C|May not be taken concurrently
OR SOC 1167|Minimum Grade of C|May not be taken concurrently
OR CEE 3048|Minimum Grade of C|May not be taken concurrently
OR PSY 1167|Minimum Grade of C|May not be taken concurrently
OR PSY 2168|Minimum Grade of C|May not be taken concurrently
OR AS 2101|Minimum Grade of C|May not be taken concurrently
OR ECE 3522|Minimum Grade of C|May not be taken concurrently
OR SOC 0825|Minimum Grade of C|May not be taken concurrently
OR ANTH 0825|Minimum Grade of C|May not be taken concurrently
OR POLS 0825|Minimum Grade of C|May not be taken concurrently
OR PSY 0825|Minimum Grade of C|May not be taken concurrently)
AND (STAT 2501|Minimum Grade of C|May not be taken concurrently)
AND (STAT 2512|Minimum Grade of C|May not be taken concurrently).

STAT 3503. Intermediate Business Statistics. 3 Credit Hours.

Topics will be chosen from multiple regression, forecasting, and time series. Standard statistical packages will be introduced and used extensively. The course will emphasize applications in business such as financial forecasting, production management, and actuarial science. This course has been approved by the Society of Actuaries/Casualty Actuarial Society for VEE - Applied Statistical Methods. Completion of this course with a minimum grade of B- is required for VEE - Applied Statistical Methods credit.

Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Accounting, Actuarial Science, Business Management, Economics, Entrprnrship & Innovation Mgt, Entrepreneurship, Finance, Financial Planning, Human Resource Management, International Business, Law & Business, Legal Studies, Management Information Systems, Marketing, Real Estate, Risk Management and Insurance, Supply Chain Management, Statistical Sci + Data Analyt, Statistics, Undeclared-Business & Mngt

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
STAT 2103|Minimum Grade of C|May not be taken concurrently
OR STAT 2903|Minimum Grade of C|May not be taken concurrently
OR MATH 3031|Minimum Grade of C|May not be taken concurrently
OR STAT 2104|Minimum Grade of C|May not be taken concurrently
OR SOC 1167|Minimum Grade of C|May not be taken concurrently
OR CEE 3048|Minimum Grade of C|May not be taken concurrently
OR PSY 1167|Minimum Grade of C|May not be taken concurrently
OR PSY 2168|Minimum Grade of C|May not be taken concurrently
OR STAT 2512|Minimum Grade of C|May not be taken concurrently
OR ECE 3522|Minimum Grade of C|May not be taken concurrently
OR SOC 0825|Minimum Grade of C|May not be taken concurrently
OR ANTH 0825|Minimum Grade of C|May not be taken concurrently
OR POLS 0825|Minimum Grade of C|May not be taken concurrently
OR PSY 0825|Minimum Grade of C|May not be taken concurrently.

STAT 3504. Time Series and Forecasting Models. 3 Credit Hours.

This time series analysis and forecasting models course with interdisciplinary applications covers important univariate and multivariate time series methods, including ARIMA models, further forecasting methods (logistic regression, ARIMA), centered and training Moving Average (MA). Students will apply the body of theoretical knowledge to analyzing real-life data sets.

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
(STAT 2103|Minimum Grade of C|May not be taken concurrently
OR STAT 2903|Minimum Grade of C|May not be taken concurrently
OR MATH 3031|Minimum Grade of C|May not be taken concurrently
OR STAT 2104|Minimum Grade of C|May not be taken concurrently
OR SOC 1167|Minimum Grade of C|May not be taken concurrently
OR CEE 3048|Minimum Grade of C|May not be taken concurrently
OR PSY 1167|Minimum Grade of C|May not be taken concurrently
OR PSY 2168|Minimum Grade of C|May not be taken concurrently
OR AS 2101|Minimum Grade of C|May not be taken concurrently
OR ECE 3522|Minimum Grade of C|May not be taken concurrently
OR SOC 0825|Minimum Grade of C|May not be taken concurrently
OR ANTH 0825|Minimum Grade of C|May not be taken concurrently
OR POLS 0825|Minimum Grade of C|May not be taken concurrently
OR PSY 0825|Minimum Grade of C|May not be taken concurrently)
AND (STAT 2501|Minimum Grade of C|May not be taken concurrently)
AND (STAT 2512|Minimum Grade of C|May not be taken concurrently).

STAT 3505. Introduction to SAS for Data Analytics. 3 Credit Hours.

This course is an introduction to programming for statistical analysis using the SAS Software System. Students will learn data set creation by data transformation to/from SAS using Import and Export functions. Concatenation, merging and subsetting data, as well as data restructuring and new variable construction using arrays and SAS functions will be taught. Simple procedures to clean and perform quality control of data, as well as procedures for calculating descriptive statistics, plots, and print outs will be covered. Laboratory exercises and homework assignments include brief exercises as well as manipulation and analysis of real data sets.

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
(STAT 2103|Minimum Grade of C|May not be taken concurrently
OR STAT 2903|Minimum Grade of C|May not be taken concurrently
OR MATH 3031|Minimum Grade of C|May not be taken concurrently
OR STAT 2104|Minimum Grade of C|May not be taken concurrently
OR SOC 1167|Minimum Grade of C|May not be taken concurrently
OR CEE 3048|Minimum Grade of C|May not be taken concurrently
OR PSY 1167|Minimum Grade of C|May not be taken concurrently
OR PSY 2168|Minimum Grade of C|May not be taken concurrently
OR AS 2101|Minimum Grade of C|May not be taken concurrently
OR ECE 3522|Minimum Grade of C|May not be taken concurrently
OR SOC 0825|Minimum Grade of C|May not be taken concurrently
OR ANTH 0825|Minimum Grade of C|May not be taken concurrently
OR POLS 0825|Minimum Grade of C|May not be taken concurrently
OR PSY 0825|Minimum Grade of C|May not be taken concurrently)
AND (STAT 2501|Minimum Grade of C|May not be taken concurrently)
AND (STAT 2512|Minimum Grade of C|May not be taken concurrently).

STAT 3506. Nonparametric and Categorical Data Analysis. 3 Credit Hours.

This course covers estimation and testing of hypotheses when the functional form of the population distribution is not completely specified. The topics also include sampling models and analyses for discrete data: Fisher's exact test, logistic regression, ROC analysis, log-linear models and Poisson regression, conditional logistic regression, Cochran-Mantel-Haenszel test, measures of agreement between observers, quasi-independence, multinomial logit models, proportional odds model, association models, generalized estimating equations (GEE). Students work with R and SAS throughout the semester.

Repeatability: This course may not be repeated for additional credits

Pre-requisites:
(STAT 2103|Minimum Grade of C|May not be taken concurrently
OR STAT 2903|Minimum Grade of C|May not be taken concurrently
OR MATH 3031|Minimum Grade of C|May not be taken concurrently
OR STAT 2104|Minimum Grade of C|May not be taken concurrently
OR SOC 1167|Minimum Grade of C|May not be taken concurrently
OR CEE 3048|Minimum Grade of C|May not be taken concurrently
OR PSY 1167|Minimum Grade of C|May not be taken concurrently
OR PSY 2168|Minimum Grade of C|May not be taken concurrently
OR AS 2101|Minimum Grade of C|May not be taken concurrently
OR ECE 3522|Minimum Grade of C|May not be taken concurrently
OR SOC 0825|Minimum Grade of C|May not be taken concurrently
OR ANTH 0825|Minimum Grade of C|May not be taken concurrently
OR POLS 0825|Minimum Grade of C|May not be taken concurrently
OR PSY 0825|Minimum Grade of C|May not be taken concurrently)
AND (STAT 2501|Minimum Grade of C|May not be taken concurrently)
AND (STAT 2512|Minimum Grade of C|May not be taken concurrently).

STAT 3580. Special Topics - Statistics. 3 Credit Hours.

Special topics in current developments in the field of statistics.

College Restrictions: Must be enrolled in one of the following Colleges: Business & Mngmnt, Fox School

Repeatability: This course may be repeated for additional credit..

STAT 3582. Independent Study. 1 to 6 Credit Hour.

Readings, papers and/or laboratory work under supervision of a faculty member.

College Restrictions: Must be enrolled in one of the following Colleges: Business & Mngmnt, Fox School

Repeatability: This course may be repeated for additional credit..