- Code STAT4026
- 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
This course introduces the principles of data representation, summarisation and presentation with particular emphasis on the use of graphics. The course will use the R 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:
- Demonstrate detailed knowledge of the R statistical computing language, particularly graphical capabilities;
- Explain in detail and be able to apply the principles of good data representation;
- Explain in detail 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;
- Use diagnostic plots when conducting statistical modelling to explore and refine statistical models for data, including detailed explanations of such use; and,
- Construct and interpret graphical displays for dependent data.
- Typical assessment may include, but is not restricted to: exams, assignments, quizzes, presentations and other assessment as appropriate (100) [LO 1,2,3,4,5,6,7]
In response to COVID-19, ANU has changed the mode of delivery for all classes in Semester 1 2020 to remote delivery.
Semester 1 Class Summary information (available under the Classes tab) on this publication is as up to date as possible. Changes to Class Summaries not captured by this publication will be available via Wattle and students should have been advised by the offering College. Find out more information on the University's response to COVID-19 here.
Students are expected to commit 130 hours of work in completing this course. This includes time spent in scheduled classes and self-directed study time.
Requisite and Incompatibility
You will need to contact the Rsch Sch of Finance, Actuarial Studies & App Stats to request a permission code to enrol in this course.
Information about the prescribed textbook will be available via the Class Summary.
Tuition fees are for the academic year indicated at the top of the page.
- Student Contribution Band:
- Unit value:
- 6 units
Offerings, Dates and Class Summary Links
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|
|8234||27 Jul 2020||03 Aug 2020||31 Aug 2020||30 Oct 2020||In Person||N/A|