BADM 700 | Statistics for Decision Making (3 credits)

Instructor: Cleborne Maddux, Ph.D.

Statistical inference and hypothesis testing; multivariate regression and analysis of variance; emphasis on applied methods, changing technology and computer applications.


  • Data organization and presentation
  • Basics on data collection
  • Basic descriptive statistics and probability concepts
  • Major probability distributions
  • Introductory decision theory making
  • Sampling distributions
  • Interval estimation techniques
  • Hypothesis testing
  • Regression

Upon completion, student will be able to:

  • Collect and use primary data and how to organize data into presentation
  • Provide and interpret appropriate summary measures for quantitative and qualitative data
  • Identify experiments, determine outcomes and calculate probabilities
  • Construct normal distribution and sampling distributions
  • Organize and input both primary and secondary data into computer databases, generate appropriate statistical output, and interpret results
  • Perform correlation and linear regression

EMBA Learning Objectives and Outcomes

The overall learning objectives for the EMBA are a broad set of knowledge and skills we wish students to acquire and hone over the course of the program. Objectives represent the collective thought of the program’s faculty about the most valuable intellectual attributes of an executive at any point in his/her career.

The overall learning objectives form a central framework for the curriculum to which each course-specific set of objectives may be mapped, allowing courses to be woven together by common threads. Having a shared viewpoint of the educational content we wish to provide allows our faculty to continuously improve their courses, while maintaining a focus on the outcomes that are desired.

Learning Objectives and Outcomes Key:

  1. The ability to use evidence-based reasoning to understand, manage, and lead complex organizations.
  2. Development of skills that facilitate problem solving in a complex and dynamic environment.
  3. The ability to integrate qualitative and quantitative information into the decision making process.

Course specific mapping for BADM 700:

  • To be able to analyze, summarize, and present data in a cohesive and comprehensible tabular and/or graphic form (L.O.: 1,2,3)
  • To be able to understand and integrate uncertainty and probabilities in decision making (L.O.: 2,3)
  • To understand the value of sampling, sample information, estimation, confidence intervals and hypothesis testing (L.O.: 2,3)