EXPERIMENTS AND CAUSAL METHODS FOR BUSINESS INSIGHTS

Prerequisites & course information

Requisites: ( GEN BUS 704 or 705 ) and ( GEN BUS 720 or concurrent enrollment); or GEN BUS 881 Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Identify statements and analytical reports that use correlational evidence to infer causal relationships. Audience: Graduate 2. Articulate why correlation may not equate to causation due to factors such as selection bias. Audience: Graduate 3. Explain the value of randomization for establishing causal effects through experiments. Audience: Graduate 4. Demonstrate skills to develop a randomized experiment and analyze the results. Audience: Graduate 5. Identify potential “natural experiments” that allow for causal analysis from existing data in business environments and be able to implement analytic approaches to analyzing data in these situations. Audience: Graduate Learning Outcomes: 1. Identify statements and analytical reports that use correlational evidence to infer causal relationships. Audience: Graduate 2. Articulate why correlation may not equate to causation due to factors such as selection bias. Audience: Graduate 3. Explain the value of randomization for establishing causal effects through experiments. Audience: Graduate 4. Demonstrate skills to develop a randomized experiment and analyze the results. Audience: Graduate 5. Identify potential “natural experiments” that allow for causal analysis from existing data in business environments and be able to implement analytic approaches to analyzing data in these situations. Audience: Graduate