This course introduces the concepts and methods of statistical inferences: the process of inferring unknowns under uncertainty. Students of this course will also learn programming skills in the R environment for basic statistical analyses.
This course consists of three main sections. Section 1 covers elements of probability models. Section 2 covers the basic theories in statistical inferences. Section 3 introduces the basic of two powerful and widely used analytic tools: regression and simulation analysis. Each weekly topic will be supplemented with relevant computer applications in the R environment.