- Introduction to Business Statistics

Catalog description

This course introduces students to the fundamental tools of statistical and quantitative reasoning used in business decision-making, with early emphasis on interpreting and critiquing AI-assisted analytical outputs. Topics include data exploration, descriptive measures, probability concepts, sampling, estimation, hypothesis testing, and an introduction to correlation and regression. The course focuses on interpretation and managerial relevance rather than complex computation. Students work with spreadsheets and selected AI-supported tools to analyze data, compare alternative interpretations, and visualize patterns. By developing comfort with data, uncertainty, and basic quantitative methods, students build the foundation needed for later analytics coursework and strengthen essential skills in data literacy, critical thinking, and evidence-based decision making.