Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor & Lecturer
Tania Prvan
Contact via 9850 8561
12 Wally's Walk Office 6.29
Please see iLearn.
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Credit points |
Credit points
4
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Prerequisites |
Prerequisites
Admission to MAppStat or MSc or GradCertAppStat or GradDipAppStat or MLabQAMgt or GradDipLabQAMgt or GradCertLabQAMgt or MBiotech or GradDipBiotech or MBioBus or MActPrac or MDataSc or MScInnovation
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
STAT723
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Unit description |
Unit description
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.
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Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Name | Weighting | Hurdle | Due |
---|---|---|---|
Portfolio | 25% | No | 11:55 pm Friday 12 April |
Assignment 1 | 25% | No | 11:55 pm Friday 10 May |
Assignment 2 | 25% | No | 11:55 pm Friday 31 May |
Final Examination | 25% | No | Exam Period |
Due: 11:55 pm Friday 12 April
Weighting: 25%
An individual portfolio of five items relating to statistical graphics, each item using a maximum of two pages, on topics or questions given in the lecture notes. You will be asked to submit these in iLearn, and they will be graded on a scale of 0-5 each.
The portfolio must be word processed and must be submitted in pdf format online via iLearn by the due date.
Failure to submit this assessment by the due date without relevant documentation to explain the lateness (submitted as a Special Consideration online within 5 working days of due date) will result in a mark of 0 being awarded for this assessment.
Due: 11:55 pm Friday 10 May
Weighting: 25%
Five statistical graphics should be collected during the first half of the semester from newspaper articles or journal articles published this year (i.e. 2019). You must not draw your own graphics or get someone else to do so for you. Credit will be given for interesting, carefully chosen graphics which show evidence of searching widely. The five statistical graphics must be included in your submission along with the source of each graphic (title of the article, authors, source, page numbers or url etc.) and each graphic must be discussed.
This discussion may include the reason why you chose this graphic, it must include strengths and weaknesses of each graphic.
There is no group work.
The report must be word processed and must be submitted in pdf format online via iLearn by the due date. It should be at most 5 pages long (1500 word count) including the graphics. Note that a word document can be saved as pdf.
Failure to submit this assessment by the due date without relevant documentation to explain the lateness (submitted as a Special Consideration online within 5 working days of due date) will result in a mark of 0 being awarded for this assessment.
Due: 11:55 pm Friday 31 May
Weighting: 25%
A data set with some documentation will be available from iLearn given at the end of Week 10. This data set must be analysed and a concise, well-organised report on your analysis must be prepared. The analysis must be appropriate and be substantially graphical. Appropriate statistical graphics explored or mentioned in the lectures should be used. The statistical package R must be used.
There is no group work.
The report must be word processed and must be submitted in pdf format online via iLearn on the due date. It should be at most 5 pages long (1500 word count) including the graphics. Note that a word document can be saved as pdf.
Failure to submit this assessment by the due date without relevant documentation to explain the lateness (submitted as a Special Consideration online within 5 working days of due date) will result in a mark of 0 being awarded for this assessment.
Due: Exam Period
Weighting: 25%
The final examination will be held during the Examination period. The final exam is 2 hours long (with an additional 10 minutes reading time).
The final examination covers all course material. Students may take into the final examination ONE A4 page of notes handwritten (not typed) on BOTH sides. Rulers will be needed.
You are expected to present yourself for the examination at the time and place designated in the University Examination Timetable. The timetable will be available in draft form approximately eight weeks before the commencement of the examinations.
If documented illness or unavoidable disruption prevent you from sitting the examination you may wish to consider applying for a Special Consideration. Failure to sit the final examination without relevant documentation to explain the absence (submitted as a Special Consideration online within 5 working days of the final examination) will result in a mark of 0 being awarded for the final examination. Students need to apply for Special Consideration online at https://ask.mq.edu.au
If you receive special consideration for the final exam, a supplementary exam will be scheduled in the interval between the regular exam period and the start of the next session. By making a special consideration application for the final exam you are declaring yourself available for a resit during the supplementary examination period and will not be eligible for a second special consideration approval based on pre-existing commitments. Please ensure you are familiar with the policy prior to submitting an application. You can check the supplementary exam information page on FSE101 in iLearn (bit.ly/FSESupp) for dates, and approved applicants will receive an individual notification one week prior to the exam with the exact date and time of their supplementary examination.
There are 2 hours of lectures and 1 practical each week in this unit. Lectures commence in Week 1 and practicals commence in Week 2. Lecture material will be put up on iLearn.
There is no specified textbook for this unit and a variety of readings will be available. The following books are good general references that may be used during the semester.
There will be weekly readings.
Technologies used and required
Lecture material will be placed on iLearn. R (https://www.r-project.org/) and Mondrian (http://www.theusrus.de/Mondrian/) will be used in some of the lectures. Students will need to use R and Mondrian. All assessments except for the final examination must be word processed and converted to pdf files for online submission in iLearn. A Word document can be saved as pdf.
Week | Topic |
1 (25 Feb) | Introduction to statistical graphics |
2 (4 Mar) | Principles of statistical graphics |
3 (11 Mar) | Getting familiar with R |
4 (18 Mar) | More R |
5 (25 Mar) | Mosaic Plots |
6 (1 Apr) | Parallel Coordinate Plots |
7 (8 Apr) | More R |
Two Week Recess | |
8 (29 Apr) | Linear Models I |
9 (6 May) | Linear Models II |
10 (13 May) | Time and time-oriented data |
11 (20 May) | Visual Data Mining |
12 (27 May) | High dimensional graphics |
13 (3 Jun) | Review |
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