STAT3011 Graphical Data Analysis
Later Year Course
| Offered By | School of Finance, Actuarial Studies & Appl Stats |
|---|---|
| Academic Career | Undergraduate |
| Course Subject | Statistics |
| Offered in | Second Semester, 2011 and Second Semester, 2012 |
| Unit Value | 6 units |
| Course Description |
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. |
| Learning Outcomes |
On completion of this course students should have an understanding of and be able to apply the techniques outlined in the course description. |
| Indicative Assessment |
Assignments (2 @ 20% each) 40% Project 60% Total 100% |
| Workload |
10 hours per week. |
| Areas of Interest | Statistics |
| Requisite Statement |
Completion of STAT1008 Quantitative Research Methods or STAT1003 Statistical Techniques or STAT2001 Introductory Mathematical Statistics. |
| Prescribed Texts |
See Course Website |
| Preliminary Reading |
See Course Website |
| Indicative Reading List |
See Course Website |
| Other Information |
See Course Website |
| Science Group | C |
| Academic Contact | School of Finance, Actuarial Studies and Applied Statistics |
The information published on the Study at ANU 2011 website applies to the 2011 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2010 website.
