Statistical Analysis for Effective Decision-Making

This course studies statistical and quantitative tools and concepts as applied in public administration. Topics include: probability theory, discriptive statistics, statistical inference, regression analysis, decision theory, linear models, linear programming, network analysis, and simulation. It emphasizes practical aspects of applying such methods, appropriately interpreting the results of the these statistical analysis tools, and gaining a meaningful understanding of how statistical analysis can be used to solve public administration problems. Use of computer tools for carrying out statistical analysis (SAS or SPSS) is also a major emphasis. Please note that Face-to-Face and Hybrid and Online versions of this course may be cross-listed or merged in Blackboard. Reference the course syllabus for additional information.