Overview

GE3040 is an introduction to the science and art of converting data into information for managerial and policy analysis. This course focuses on the descriptive and inferential statistical concepts useful for conducting managerial and policy analysis. Topics include measurement scales, descriptive statistics for quantitative and qualitative data, basic probability concepts and the Normal Distribution, sampling theory, sampling distributions, point and interval estimation, hypothesis testing, correlation analysis, and trend analysis. The course will draw examples from the application of statistics to problems across the subfields of Management, including Managerial Strategy, Economics, Finance, Budgeting, Logistics Management, Human Resource Management, Managerial Accounting, and Acquisitions. Excel statistical tools will be utilized for data analysis and presentation.

Included in Degrees & Certificates

• 192
• 855

Prerequisites

• Open to EMBA students, or by consent of instructor.

Learning Outcomes

At the end of the course, students should be able to:

• Use appropriate graphs to visualize categorial and quantitative data; distinguish different types of data; and use descriptive statistics to summarize data.
• Use the laws of probability to calculate the likelihood of certain events including conditional probabilities.
• Using sample data, make inferences about the population, including estimating population means and proportions using confidence intervals.
• Formulate and test hypotheses about population means, proportions and differences between two populations.
• Interpret linear relationships and understand the limitations of regression analysis.