| |
May 17, 2024
|
|
|
|
|
2022-2023 Academic Catalog V2 [ARCHIVED CATALOG]
Course Search
|
|
| |
Sports Management |
| |
-
SPM 403 - Sports Marketing
(3 Credits)
This course will help students apply the fundamental principles and practices of marketing to sports and leisure management. Students will learn to utilize the theoretical and practical application of marketing to professional and collegiate sports and the leisure industry. Students will explore the unique aspects of sports marketing compared to traditional marketing and there will be an overview of how to market sports and how sports can be utilized to market other products.
|
Statistics |
| |
-
STA 326 - Applied Statistics
(3 Credits)
The objective of this course is to provide students with an introduction to statistics and to enhance their analytical abilities. The course covers descriptive statistics, measures of central tendency and dispersion, probability and probability distributions, confidence intervals and hypothesis testing. The course emphasizes the applications of statistical concepts to business and non-business situations and to common occurrences in daily life.
Prerequisite(s): MAT 136
|
| |
-
STA 327 - Advanced Statistics
(3 Credits)
This course introduces students to advanced topics in statistics, with an emphasis on business and non-business applications. The course covers hypothesis testing, testing the difference between two means, regression analysis, nonparametric tests, analysis of variance, and forecasting. The course focuses on building strong statistical knowledge, analytical skills, and the applications of statistical concepts to business and non-business situations and to common occurrences in daily life.
Prerequisite(s): STA 326
|
| |
-
STA 655 - Applied Statistics for Business
(3 Credits)
This course covers probability, sampling distributions, confidence intervals, hypothesis testing, correlation, and simple and multiple regression analysis. Business applications are used to illustrate these concepts. The course requires familiarity with the statistical analysis package of MS Excel.
|
| |
-
STA 758 - Introductory Statistics for Business Research
(3 Credits)
This course covers a variety of foundational statistical techniques that support doctoral research in business. Basic statistical concepts will be reviewed and the students will be introduced to methods of organizing, interpreting, and presenting data. Students will be introduced to descriptive and visual univariate and bivariate statistics in Excel and R. They will learn the laws of probability, become familiar with the major families of discrete and continuous random variables, and study sampling, the foundation of inferential statistics.
|
| |
-
STA 765 - Intermediate Statistics for Business Research
(3 Credits)
This course explores intermediate concepts and topics in statistical research methods. Topics include confidence intervals and hypothesis testing for means and proportions, comparison of populations, multiple regression, and ANOVA. Control charting will be discussed if time permits. Students will continue to work in Excel and R.
Prerequisite(s): STA 758
|
| |
-
STA 770 - Advanced Statistics for Business Research
(3 Credits)
This course is designed to prepare students to perform advanced data analysis in business research. Topics include chi-squared tests, logistic regression, time series, principal components analysis, and cluster analysis. Design of experiments and non-parametric methods will be discussed if time permits. Most work will be done in R.
Prerequisite(s): STA 758
|
| |
Page: 1
| 2
| 3
| 4
|
|
|
Print this Page