This course will teach how to use the necessary statistical tools for data-driven decision making so as to improve the effectiveness of human resources programs. The course will focus on classical methods which include descriptive statistics, hypothesis testing, analysis of variance and multivariate regression models. Students will use sample data in employee selection, compensation, union practices and statistical tools to evaluate and make recommendations for HR policies and practices. Identification of the appropriate statistical technique for analyzing a variety of problems will be discussed as well as the potential pitfalls of using inappropriate techniques. The course will emphasize data investigation and mastering statistical reasoning, not mathematical rigor.