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Instructor: Merlise Clyde
Office: 223 E Old Chemistry Building	Office hours: by appointment
Phone: 681-8440	Email: clyde@stat.duke.edu
Lecture:: 025 Old Chemistry Building .	Tuesday -Thursday10:50-12:10

 

This course provides a broad introduction to a range of topics in statistical science and data analysis. Topics will be selected from:

• exploratory data analysis and statistical graphics
• models for binary and count/categorical data
• normal data models including ANOVA and regression models
• comparison of classical sampling-theory and Bayesian inference
• introduction to hierarchical models
• elements of simulation
• statistical programming environments such as R/S-Plus
• use of unix tools, including emacs and LaTeX

Though the course does not include rigourous development of statistical theory and methods, we will use and review various concepts and methods of inference, so that some familiarity with basic statistics is desirable. Co-registration in STA 213 or recent experience with similar courses will be most useful.

Students may find the following list of references useful.

Grading will be based on classroom presentations, homework, and takehome exams (midterm and final)