- 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 2019
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:
To achieve an understanding of and facility in:
- Working knowledge of S-Plus statistical computing language, particularly graphical capabilities
- Represent and compare distributions of data
- Summarise and analyse relationships between a response variable and a covariate
- Summarise and analyse relationships between a response variable and several covariate
- Summarise and analyse time- dependent data using basic time series models
- Effectively communicate statistical analyses graphically, numerically and in written reports
See the course outline on the College courses page. Outlines are uploaded as they become available.
Typical assessment may include, but is not restricted to: assignments and a Project.
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Students are expected to commit at least 10 hours per week to completing the work in this course. This will include at least 3 contact hours per week and up to 7 hours of private study time.
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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