This course introduces the principles of data representation, summarisation and presentation with particular emphasis on the use of graphics. The course will use the S-Plus Language in a modern computing environment. Topics to be discussed include: Data representation; examples of good and bad graphics; principles of graphic construction; some pitfalls to be avoided; presentation graphics. Graphics environments; interactive graphics; windows; linked windows; graphics objects. Statistical graphics; stem and leaf plots, box plots, histograms; smoothing histograms; quantile-quantile plots; representing multivariate data; scatterplots; clustering; stars and faces; dynamic graphics including data rotation and brushing. Relationships between variables; smoothing scatterplots; simple regression; modelling and diagnostic plots; exploring surfaces; contour plots and perspective plots; multiple regression; relationships in time and space; time series modelling and diagnostic plots.

On completion of this course students should have an understanding of and be able to apply the techniques outlined in the course description.

Assignments (2 @ 20% each)  40%

Project  60%

Total 100%

10 hours per week.

STAT1008 Quantitative Research Methods or STAT1003 Statistical Techniques or STAT2001 Introductory Mathematical Statistics

For further information please refer to http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3011