DBA 8325 Quantitative Research and Analysis
In this course, students will be introduced to quantitative techniques that will allow them to develop the acumen and instincts necessary to make data-informed decisions and to become a more effective business leader. The course begins with an overview of graphical methods, numerical descriptive methods, and the fundamentals of probability theory including discrete and continuous probability distributions. Inferential methods including hypothesis testing, confidence interval estimation, one sample tests, two sample tests, ANOVA, MANOVA, and Chi-square and nonparametric tests will also be covered. Special emphasis will be placed on sampling, measurement scales, and the evaluation of survey worth. Finally, students will learn how use technology to apply decision theory, regression techniques, time series analysis, and forecasting to real-world problems in business.