Experimental design and data analysis are not only strong methods used by academics to study management and its subfields (e.g., entrepreneurship, innovation, leadership), these methods are also used by large and small firms to understand and analyze their business challenges. This course gives students the tools to design, analyze, and interpret experiments so that they are equipped to apply this rigor in either an academic or a management career.
Prerequisite: Intro to Statistics (undergraduate) required. Participants need to have taken and understood undergraduate statistics. Participants should be curious about experiments and the methodical practices of social science.
Faculty: Mark A. Conley
Course Date & Time
Tuesdays and Thursdays, 9:30 AM - 12:00 PM (CET)