This course is designed for senior undergraduate and research students who need to design experiments and carry out statistical analysis of their data. Emphasis will be placed on the development of statistical concepts and statistical computing skills, rather than mathematical details. The content will be motivated by problem-solving in many diverse areas of application. The topics covered will include summarizing data by graphs and tables, the design and analysis of experiments, regression modeling with emphasis on model formulation, understanding the implications of model assumptions, diagnostic methods for model checking and interpretation, the analysis of binary and ordinal data and log-linear models for contingency tables.

• 2 assignments (15% each) - 30%
• Final exam - 70%

Three hours of lectures and tutorials per week plus private study time.

See Course Website: http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3008

For further information please refer to http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3008