This course is designed to introduce foundational statistical building blocks used in applied managerial reasoning and decision making. Coverage will include (1) the computation, interpretation, and visualization of descriptive statistics (e.g., quantities reported as key performance indicators and/or metrics on dashboards), (2) tests of statistical differences (e.g., period over period, segment vs. segment, comparisons, etc.), (3) tests for statistical association (e.g., correlations, associations among categorical variables), and (4) an introduction to predictive modeling using multiple regression. In addition to gaining working knowledge of foundational statistics, an intended outcome is to equip organizational leaders to evaluate analysis results prepared by others, a critical skill for modern data-rich business contexts with expanding applications of business analytic techniques.