Business Statistics
Courses
STAT 510 Introduction to Statistics for Business Analytics 2.0 Credits
This course studies the basic principles and implementation techniques of descriptive statistics, sampling, hypothesis testing, one-way ANOVA, and regression analysis. In addition, this course will emphasize how these analytical tools can used in business decision making.
Repeat Status: Not repeatable for credit
STAT 601 Business Statistics 3.0 Credits
This course covers the basic principles and implementation techniques of descriptive statistics, sampling, statistical inference, analysis of variance, and regression analysis. An understanding of how these tools can support managerial decision making is emphasized.
Repeat Status: Not repeatable for credit
STAT 610 Statistics for Business Analytics 3.0 Credits
This course covers the basic principles and implementation techniques of analysis of variance, simple and multiple regression analysis. An understanding of how these tools can support business analytics is emphasized. The course covers not just methods, but theory, too.
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if classification is PhD.
STAT 628 Applied Regression Analysis 3.0 Credits
Covers techniques used in simple and multiple regression analysis, including residual analysis, assumption violations, variable selection techniques, correlated independent variables, qualitative independent and dependent variables, polynomial and non-linear regression, regression with time-series data and forecasting. Applications related to business decision-making will be emphasized.
Repeat Status: Not repeatable for credit
Prerequisites: STAT 601 [Min Grade: B-] or STAT 610 [Min Grade: B-] or STAT 510 [Min Grade: B-]
STAT 630 Multivariate Analysis 3.0 Credits
An introduction to multivariate statistics that focuses on the use of statistical methods for exploring and discovering information in large business datasets. Topics will be drawn from clustering and discriminate analysis for classification, principle components analysis for data exploration and variable reduction, factor analysis for indentifying latent variables, and other traditional multivariate topics.
Repeat Status: Not repeatable for credit
Prerequisites: STAT 601 [Min Grade: C] or STAT 610 [Min Grade: C] or STAT 510 [Min Grade: C]
STAT 632 Datamining for Managers 3.0 Credits
Datamining focuses on extracting knowledge from large datasets. This course introduces the student to several key datamining concepts including classification, prediction, data reduction, model comparison and data exploration. Software and datasets are employed to illustrate the concepts.
Repeat Status: Not repeatable for credit
Prerequisites: STAT 601 [Min Grade: B-] or (STAT 610 [Min Grade: B-] or STAT 510 [Min Grade: B-] or ECON 540 [Min Grade: B-] or BSAN 601 [Min Grade: B-])
STAT 634 Quality & Six-Sigma 3.0 Credits
This course covers the current theory and practice in quality, with a focus on Six-Sigma Implementation. Topics will include the dynamic nature of quality, the roles of management in planning and guiding quality efforts, as well as the fundamentals of statistical methods for quality monitoring and improvement.
Repeat Status: Not repeatable for credit
Prerequisites: STAT 601 [Min Grade: B-] or STAT 610 [Min Grade: B-] or STAT 510 [Min Grade: B-] or ECON 540 [Min Grade: B-] or BSAN 601 [Min Grade: B-]
STAT 636 Experimental Design 3.0 Credits
Introduces design of experiments. Covers topics including scientific approach to experimentation, completely randomized designs, randomized complete block designs, Latin square designs, factorial designs, two-factorial designs, fractional factorials, nested and split plot designs, response surfaces designs, and Taguchi methods.
Repeat Status: Not repeatable for credit
Prerequisites: STAT 601 [Min Grade: B-] or STAT 610 [Min Grade: B-] or STAT 510 [Min Grade: B-]
STAT 638 Advanced Statistical Quality Control 3.0 Credits
Covers advanced topics in statistical process control. Covers topics including cumulative sum (CUSUM) control charts, exponentially weighted moving average (EWMA) control charts, multivariate control charts, economic design and evaluation of control charts, performance specifications, process capability and improvement, and computer applications. Usually includes several guest speakers from service and manufacturing firms.
Repeat Status: Not repeatable for credit
Prerequisites: STAT 634 [Min Grade: C]
STAT 642 Data Mining for Business Analytics 3.0 Credits
This course introduces students to the methods of data mining and how to apply them to business problems. Included are logistic regression, trees, neural networks, support vector machines, and marketbasket analysis. Data preparation, visualization, and feature selection also are addressed, as are boosting and random forests.
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if classification is PhD.
Prerequisites: STAT 610 [Min Grade: C]
STAT 645 Time Series Forecasting 3.0 Credits
This course provides a comprehensive introduction to the latest time series forecasting methods. Topics such as autocorrelation, forecast accuracy, seasonality, stationarity, decomposition, time series linear models, exponential smoothing, and ARIMA models are discussed. The course provides a practical skillset to students interested in more accurately forecasting future energy usage, retail sales, crime, economic indicators, user engagement, or any data which is repeatedly measured over time. Knowledge of a statistical programming language is prerequisite.
Repeat Status: Not repeatable for credit
Prerequisites: STAT 610 [Min Grade: C]
STAT 924 Multivariate Analysis I 3.0 Credits
An introduction to multivariate statistics with topics that may include but are not limited to Matrix Algebra, the Multivariate Normal Distribution, Multivariate Analysis of Variance, Tests on Covariance Matrices, Discriminant Analysis, Multivariate Regression, Canonical Correlation, Principle Component Analysis, factor Analysis, and Cluster Analysis.
Repeat Status: Not repeatable for credit
STAT 925 Multivariate Analysis II 3.0 Credits
This course is the sequel of STAT 924. STAT 924 discussed linear regression, PCA, EFA, CFA, cluster analysis, ANOVA, discriminant analysis, logit, canonical correlation, and MDS Using SAS. This course builds on that baseline by continuing into GLM models and then exploratory regression models.
Repeat Status: Not repeatable for credit
Prerequisites: STAT 924 [Min Grade: B]
STAT 931 Statistics for Economics 3.0 Credits
This course will cover the traditional introductory statistics topics; descriptive statistics, probability theory, random variables, discrete and continuous probability distribution, sampling distributions, estimation, and hypothesis testing. Then we’ll move on to a more advanced topic: regression analysis.
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if program is PHD.
STAT 932 Statistics for Behavioral Science 3.0 Credits
This course provides a non-theoretical coverage of common statistics topics for students in the behavioral sciences. These may include, but are not limited to descriptive statistics, probability theory, random variables, discrete and continuous probability distributions, sampling distributions, estimation, hypothesis testing, analysis of variance, & regression. Emphasis is put on and examples are of behavioral topics.
Repeat Status: Not repeatable for credit
Restrictions: Can enroll if program is PHD.
STAT I599 Independent Study in Business Statistics 0.0-12.0 Credits
Self-directed within the area of study requiring intermittent consultation with a designated instructor.
Repeat Status: Can be repeated multiple times for credit
STAT I699 Independent Study in Business Statistics 0.0-12.0 Credits
Self-directed within the area of study requiring intermittent consultation with a designated instructor.
Repeat Status: Can be repeated multiple times for credit
STAT I799 Independent Study in Business Statistics 0.0-12.0 Credits
Self-directed within the area of study requiring intermittent consultation with a designated instructor.
Repeat Status: Can be repeated multiple times for credit
STAT I899 Independent Study in Business Statistics 0.0-12.0 Credits
Self-directed within the area of study requiring intermittent consultation with a designated instructor.
Repeat Status: Can be repeated multiple times for credit
STAT I999 Independent Study in Business Statistics 3.0 Credits
Self-directed within the area of study requiring intermittent consultation with a designated instructor.
Repeat Status: Can be repeated 3 times for 9 credits
STAT T580 Special Topics in STAT 0.0-12.0 Credits
Topics decided upon by faculty will vary within the area of study.
Repeat Status: Can be repeated multiple times for credit
STAT T680 Special Topics in STAT 0.5-9.0 Credits
Topics decided upon by faculty will vary within the area of study.
Repeat Status: Can be repeated multiple times for credit
STAT T780 Special Topics in STAT 0.0-12.0 Credits
Topics decided upon by faculty will vary within the area of study.
Repeat Status: Can be repeated multiple times for credit
STAT T880 Special Topics in STAT 0.0-12.0 Credits
Topics decided upon by faculty will vary within the area of study.
Repeat Status: Can be repeated multiple times for credit
STAT T980 Special Topics In STAT 0.5-9.0 Credits
Topics decided upon by faculty will vary within the area of study.
Repeat Status: Can be repeated multiple times for credit