Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor
Justin Wishart
Contact via justin.wishart@mq.edu.au
AHH, Level 2
Monday 2pm-4pm
Lecturer
Kehui Luo
Contact via kehui.luo@mq.edu.au
AHH, Level 2
Tuesday 10am-12pm (noon)
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Credit points |
Credit points
3
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Prerequisites |
Prerequisites
(STAT170(P) or STAT171(P) or STAT150(P)) and (STAT175(P) or GPA of 2.0 (out of 4.0))
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
STAT680
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Unit description |
Unit description
This unit aims to extend and broaden statistical experience from 100-level statistics units, with a focus on application to real-world analysis. It covers relationships between categorical or continuous explanatory variables and a continuous response variable using the techniques of one-way and two-way analysis of variance and simple and multiple linear regression. Data management, report writing, graphical presentation of results, and power analysis are described.
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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:
Note that satisfactory performance in the Final Examination is required for a Pass in the subject.
Name | Weighting | Due |
---|---|---|
Tutorial Exercises Week 3 | 4% | 22 March |
Assignment 1 | 16% | 26 April |
Assignment 2 | 20% | 31 May |
Final exam | 60% | to be decided |
Due: 22 March
Weighting: 4%
Tutorial Exercises from Week 3.
Due: 26 April
Weighting: 16%
Covers weeks 1-6
Due: 31 May
Weighting: 20%
Covers weeks 7-11
Due: to be decided
Weighting: 60%
Material to be covered will be notified. Satisfactory performance is required for a pass in the subject.
There is no prescribed textbook.
You will be expected to use R/RStudio to perform data analyses. You will use R/RStudio as part of the tutorials, and you can use the software in the E4B labs when they are not booked for classes. You can find more information on RStudio at their web site: https://www.rstudio.com/. The software is freely available to download at no cost for all standard operating systems (Windows, Mac OS and Linux) at https://www.rstudio.com/products/rstudio/download/
These recommended books are available in Reserve at the library.
There are other books that are useful but not guaranteed to be available in Reserve at the library.
Online Textbooks
Week (begins) |
Lectures | Work due |
1 (29 Feb) |
Review One sample tests + One sided tests; |
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2 (7 March) |
Review two sample tests + assumptions; Report writing |
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3 (14 March) |
One way ANOVA | |
4 (21 March) |
One way ANOVA Multiple comparisons and Transformations | Tutorial Ex 3. |
5* (29 March) |
Non-parametrics; Power and Sample Size |
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6 (4 April) |
Data collection and management; Revision | |
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Midsemester Break | |
7* (26 April) | Simple linear regression and transformations | Assignment 1 |
8 (2 May) |
Multiple regression | |
9 (9 May) |
Multiple regression continued; Ethics |
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10 (16 May) |
Two-way ANOVA | |
11 (23 May) |
Two-way ANOVA continued and Multiple comparsions | |
12 (30 May) |
ANOVA - Regression connection |
Assignment 2 |
13 (6 June) |
Revision | |
*Public Holiday Monday on 28th March and 25th April |
Macquarie University policies and procedures are accessible from Policy Central. Students should be aware of the following policies in particular with regard to Learning and Teaching:
Academic Honesty Policy http://mq.edu.au/policy/docs/academic_honesty/policy.html
New Assessment Policy in effect from Session 2 2016 http://mq.edu.au/policy/docs/assessment/policy_2016.html. For more information visit http://students.mq.edu.au/events/2016/07/19/new_assessment_policy_in_place_from_session_2/
Assessment Policy prior to Session 2 2016 http://mq.edu.au/policy/docs/assessment/policy.html
Grading Policy prior to Session 2 2016 http://mq.edu.au/policy/docs/grading/policy.html
Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html
Complaint Management Procedure for Students and Members of the Public http://www.mq.edu.au/policy/docs/complaint_management/procedure.html
Disruption to Studies Policy http://www.mq.edu.au/policy/docs/disruption_studies/policy.html The Disruption to Studies Policy is effective from March 3 2014 and replaces the Special Consideration Policy.
In addition, a number of other policies can be found in the Learning and Teaching Category of Policy Central.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/support/student_conduct/
Results shown in iLearn, or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au.
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Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to improve your marks and take control of your study.
Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.
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Late submission of assignments will be only accepted by prior arrangement or in accordance with the disruption to studies policy. All other late submissions will incur a penalty of 10% per day or part day.
We want our graduates to have emotional intelligence and sound interpersonal skills and to demonstrate discernment and common sense in their professional and personal judgement. They will exercise initiative as needed. They will be capable of risk assessment, and be able to handle ambiguity and complexity, enabling them to be adaptable in diverse and changing environments.
This graduate capability is supported by:
Our graduates will take with them the intellectual development, depth and breadth of knowledge, scholarly understanding, and specific subject content in their chosen fields to make them competent and confident in their subject or profession. They will be able to demonstrate, where relevant, professional technical competence and meet professional standards. They will be able to articulate the structure of knowledge of their discipline, be able to adapt discipline-specific knowledge to novel situations, and be able to contribute from their discipline to inter-disciplinary solutions to problems.
This graduate capability is supported by:
We want our graduates to be capable of reasoning, questioning and analysing, and to integrate and synthesise learning and knowledge from a range of sources and environments; to be able to critique constraints, assumptions and limitations; to be able to think independently and systemically in relation to scholarly activity, in the workplace, and in the world. We want them to have a level of scientific and information technology literacy.
This graduate capability is supported by:
Our graduates should be capable of researching; of analysing, and interpreting and assessing data and information in various forms; of drawing connections across fields of knowledge; and they should be able to relate their knowledge to complex situations at work or in the world, in order to diagnose and solve problems. We want them to have the confidence to take the initiative in doing so, within an awareness of their own limitations.
This graduate capability is supported by:
We want to develop in our students the ability to communicate and convey their views in forms effective with different audiences. We want our graduates to take with them the capability to read, listen, question, gather and evaluate information resources in a variety of formats, assess, write clearly, speak effectively, and to use visual communication and communication technologies as appropriate.
This graduate capability is supported by:
The statistical software package to conduct analysis is no longer Minitab and the course will now use R/RStudio.