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STAT 6100 Statistical Foundations for Business Analytics 3.0 Credits

This course provides essential statistical knowledge for graduate students in business analytics, focusing on building a deep understanding of core methods. Students will explore foundational concepts of probability, statistical inference, and hypothesis testing. A significant portion of the course is dedicated to linear regression, examining it as a powerful and interpretable tool for modeling relationships and business outcomes. The primary learning objective is to build a robust theoretical understanding of why these methods work, enabling students to correctly interpret model outputs, quantify uncertainty, and make statistically sound recommendations.

College/Department: Bennett S. LeBow Coll. of Bus./Decision Sciences
Repeat Status: Not repeatable for credit