- Code STAT3011
- Unit Value 6 units
- Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
- ANU College ANU College of Business and Economics
- Course subject Statistics
- Areas of interest Statistics
- Academic career UGRD
- Prof Michael Martin
- Mode of delivery In Person
Second Semester 2014
See Future Offerings
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.
Upon successful completion, students will have the knowledge and skills to:
On successful completion of this course students should have an understanding of and be able to understand and apply the principles of data representation, summarisation and presentation with particular emphasis on the use of graphics. In particular, students will be able to:
- Understand and be able to apply the principles of good data representation
- Recognize and critique examples of good and bad graphics
- Understand and apply the principles of good graphic construction
- Understand and be able to use various graphics environments, interactive graphics and graphics objects.
- Construct graphical representations of one-dimensional data
- Construct graphical representations for multivariate data including scatterplots, and dynamic graphics incorporating data rotation and brushing.
- Be able to use diagnostic plots when conducting statistical modelling to explore and refine statistical models for data
- Construct and interpret graphical displays for dependent data
The learning outcomes are open-ended in the sense that students are expected to develop the skills to analyse data without necessarily being told beforehand what tools of analysis will be needed during the analysis.
See the course outline on the College courses page. Outlines are uploaded as they become available.
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10 hours per week.
Requisite and Incompatibility
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
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Offerings, Dates and Class Summary Links
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|7268||21 Jul 2014||01 Aug 2014||31 Aug 2014||30 Oct 2014||In Person||N/A|