Conditional Independence in Applied Probability

In our tightly wired world, business executives make decisions under pressure. Almost always, these decisions must be made with less than complete information. This course is about how to effectively use data that is currently available (or can be obtained within a reasonable time frame and cost) to improve business decision-making. We will use business examples from functional areas such as finance, marketing, human resources, and operations to illustrate the role of data analysis in decision making. This course is not designed to be a dry sleepy-time set of abstract, mathematical lectures. My goal is to make statistics come alive in the context of life and in the context of real business problems demanding solution.