Statistics 416 - Statistics II

This course concerns using calculus-based probability theory to formalize and facilitate statistical inference, i.e., the process of learning from data. The course is structured in four sections: properties of point estimators, methods of point estimation, confidence intervals, and hypothesis testing. Each section includes goals and motivation, basic definitions, general methodology, and applications to commonly used statistical tools, including inference for means, differences in means, proportions, and differences in proportions. The statistical programming software R will be used to implement the methods covered in the class and to conduct simulation studies to numerically assess the performance of statistical methods. This class has 2.5 hours of lecture time and 50 minutes of required recitation section time per week. (Gen. Ed. R2) [Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

STATISTC 315 or 515 w/ C If you have already completed either Stat 490S or Stat 516 in a previous semester, you may not take Stat 416 in any future semester.

Some seats reserved for Math majors or Stat and DS majors.