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Statistical Graphics - STAT823

We present the principles of effective graphical presentation, set them in a historical context and apply them to a variety of statistical data sets. Emphasis is given to use of modern multivariate graphical techniques such as trellis/lattice graphs and mosaic plots to show a variety of displays of data and model fits, and to display model consistency with data. To present graphics, we introduce and use R, as well as other standard packages. Participants choose an area for further investigation related to their interests. This unit is appropriate for study at any stage of the student's: as an introduction early in the program, or as an overview towards the end of the program.

Credit Points: 4
When Offered:

S1 Day - Session 1, North Ryde, Day

S1 External - Session 1, External (On-campus sessions: None)

Staff Contact(s): Dr Tania Prvan
Prerequisites:

Admission to MAppStat or MSc or GradCertAppStat or GradDipAppStat or MLabQAMgt or PGCertLabQAMgt or GradDipLabQAMgt or GradCertLabQAMgt or MBiotech or GradDipBiotech or MBioBus or MActPrac or MDataSc Prerequisite Information

Corequisites:

NCCW(s):
Unit Designation(s):

Commerce

Science

Assessed As: Graded
Offered By:

Department of Statistics

Faculty of Science and Engineering

Course structures, including unit offerings, are subject to change.
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