B BUS 502
Reviews descriptive statistics, exploratory data, and probability distributions. Studies the theory and methods of statistical inference, emphasizing those applications most useful in modeling business problems. Topics include sampling theory, estimation, hypothesis testing, linear regression, analysis of variance, and several advanced applications of the general linear model. Offered: A.
Student learning goals
• Understand the basic concepts of both descriptive and inferential statistics.
• Recognize the usefulness and limitations of inferential methods widely used in management analysis. • Demonstrate the ability to analyze data using statistical methods. • Demonstrate the ability to build and test explanatory models.
• Be skilled at organizing and presenting statistical information in a format that will facilitate informed management judgments.
• Be skilled at interpreting statistical results presented in professional reports and journals.
• Understand some common biases in interpreting statistical results (why they occur and how they can be prevented).
• Understand how to build a case for causation based on correlational data, and appreciate the limitations of using correlational methods to test theories of causation.
General method of instruction
• Interactive Classes. • Case Studies. • Interdisciplinary Discussions. • Computer Applications.
Class assignments and grading
Case studies are data analysis projects that require write-up and discussion.
Grades will be based on exams, case studies, and class participation.