1
false
STAT3011
<p>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.</p>
C
1
false
13861
<p align="left">Assignments (2 @ 20% each) 40%</p><p align="left">Project 60%</p><p align="left">Total 100%</p>
See Course Outline: <a href="http://ecocomm.anu.edu.au/courses/outline/STAT3011.pdf">http://ecocomm.anu.edu.au/courses/outline/STAT3011.pdf</a>
1
1
<p>On completion of this course students should have an understanding of and be able to apply the techniques outlined in the course description.</p>
0
Graphical Data Analysis
6
6
<p>For further information please refer to <a href="http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3011">http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3011</a></p>
See Course Outline: <a href="http://ecocomm.anu.edu.au/courses/outline/STAT3011.pdf">http://ecocomm.anu.edu.au/courses/outline/STAT3011.pdf</a>
See Course Outline: <a href="http://ecocomm.anu.edu.au/courses/outline/STAT3011.pdf">http://ecocomm.anu.edu.au/courses/outline/STAT3011.pdf</a>
6
<p><a href="/courses/STAT1008;details.html">STAT1008</a> Quantitative Research Methods or <a href="/courses/STAT1003;details.html">STAT1003</a> Statistical Techniques or <a href="/courses/STAT2001;details.html">STAT2001</a> Introductory Mathematical Statistics </p><p> </p>
Graphical Data Analysis
Band 2 NP
Statistics
<p>10 hours per week.</p>
2010