• Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
  • ANU College ANU College of Business and Economics
  • Classification Transitional
  • Course subject Statistics
  • Areas of interest Actuarial Studies, Statistics
  • Academic career Postgraduate
  • Course convener
    • Prof Michael Martin
  • Mode of delivery In Person
  • Co-taught Course STAT4026
  • Offered in Second Semester 2016
    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.

Learning Outcomes

Upon successful completion of the requirements for this course, students should have the
knowledge and skills to:

1. Demonstrate detailed knowledge of the R statistical computing language, particularly graphical capabilities
2. Explain in detail and be able to apply the principles of good data representation
3. Recognise and critique examples of good and bad graphics
4. Explain in detail and apply the principles of good graphic construction
5. Explain in detail and be able to use various graphics environments, interactive graphics and graphics objects.
6. Construct graphical representations of one dimensional data
7. Construct graphical representations for multivariate data including scatterplots, and dynamic graphics. 
8. Be able to use diagnostic plots when conducting statistical modelling to explore and refine statistical models for data, including detailed explanations of such use.
9. Construct and interpret graphical displays for dependent data.

Other Information

See the course outline on the College courses page. Outlines are uploaded as they become available. 

Indicative Assessment

Assignments 40%

Project  60%

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

10 hours per week.

Requisite and Incompatibility

To enrol in this course you must have completed STAT7055 or STAT6039 or enrolment in the Master of Statistics.

Specialisations

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
Band 2
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2016 $3480
International fee paying students
Year Fee
2016 $4638
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
7736 18 Jul 2016 29 Jul 2016 31 Aug 2016 28 Oct 2016 In Person

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions