Graphical Data Analysis STAT7026  - Details

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Offered By: School of Finance and Applied Statistics
Academic Career: Graduate Coursework
Course Subject: Statistics
Offered in: Second Semester, 2010
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.

Course Classification(s): TransitionalTransitional courses are designed for students from a broad range of backgrounds and learning achievements, which provide for the acquisition of generic skills; or an informed understanding of contemporary issues; or fundamental knowledge for transition to Advanced or Specialist courses.
Areas of Interest: Actuarial Studies and Statistics
Eligibility: At least an average of 65% (or equivalent) in the final two years of an Australian undergraduate degree with at least two years of university level statistical and mathematical study including calculus and linear algebra, as well as mathematical statistics and linear regression theory.
Incompatibility:

with STAT8026 Graphical Data Analysis

Prescribed Texts: See Course Outline:  http://ecocomm.anu.edu.au/courses/outline/STAT3011.pdf
Preliminary Reading:

See Course Outline:  http://ecocomm.anu.edu.au/courses/outline/STAT3011.pdf

 

Indicative Reading List: See Course Outline:  http://ecocomm.anu.edu.au/courses/outline/STAT3011.pdf
Programs: Graduate Certificate in Applied Statistics, Graduate Certificate in Business Statistics, Graduate Certificate in Actuarial Studies, and Master of Applied Statistics
Other Information:

For further information please refer to http://ecocomm.anu.edu.au/courses/course.asp?code=STAT7026

Academic Contact: See http://ecocomm.anu.edu.au/courses/course.asp?code=STAT7026