Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor
Justin Wishart
Contact via justin.wishart@mq.edu.au
12 Wally's Walk (E7A), Level 6, Rm 6.39
Thursday 10-11am and 2-3pm
Lecturer
Kehui Luo
Contact via kehui.luo@mq.edu.au
12 Wally's Walk (E7A), Level 5, Rm 5.29
Thursday 10-11am and 2-3pm
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Credit points |
Credit points
4
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Prerequisites |
Prerequisites
Admission to MAppStat or GradDipAppStat or MSc
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Corequisites |
Corequisites
STAT670
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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 STAT670, 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:
Students are required to submit all their in-session assessments via the TurnItIn interface on iLearn.
Students who have not submitted the task prior to the deadline will be awarded a mark of 0 for the task. No extensions will be granted, except for cases where a student has a serious and unavoidable disruption to studies. In this case, an application for disruption of studies is required from the student on the ask.mq.edu.au system and needs to be approved by the Lecturer in charge.
The supported statistical software for this unit is R/RStudio. Students will be given guidance on how to use this software and be expected to conduct their analyses using R/RStudio for the in-session assessments. Students should also note that the final examination will involve data analysis that contains inline R code that students need to interpret to answer the exam questions.
Students are advised that it is Macquarie University policy not to set early examinations for individuals or groups of students. All students are expected to ensure that they are available until the end of the teaching semester, i.e. the final day of the official examination period.
The only excuse for not sitting an examination at the designated time is because of documented illness or unavoidable disruption. In these special circumstances you may apply for Disruption to Studies via ask.mq.edu.au. A supplementary examination will only be granted if the student has been found to have had a significant disruption to studies.
If you apply for Disruption to Study for your final examination, you must make yourself available for the week of July 24 – 28, 2017. If you are not available at that time, there is no guarantee an additional examination time will be offered. Specific examination dates and times will be determined at a later date.
Students can submit disruption to studies request(s) through the following link: http://ask.mq.edu.au/
Name | Weighting | Hurdle | Due |
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iLearn quiz | 5% | No | Week 4 |
Assignment 1 | 10% | No | Week 7 |
Assignment 2 | 15% | No | Week 12 |
Assignment 3 | 10% | No | Week 13 |
Final exam | 60% | No | Examination period |
Due: Week 4
Weighting: 5%
The first assessment will be an iLearn quiz. Students will complete the quiz during the week 4 tutorial class they are enrolled in. Student will have access to a computer and are advised to use R/RStudio to answer the questions of the test. The duration of the test will be 30 minutes. The exercises will assess:
Due: Week 7
Weighting: 10%
The first Assignment will be due 5pm on Wednesday in Week 7. The assignment will cover:
Due: Week 12
Weighting: 15%
The second Assignment will be due 5pm on Wednesday in Week 12. The assignment will cover:
Due: Week 13
Weighting: 10%
The third Assignment will be due 5pm on Wednesday in Week 13. It will be based on the additional nonparametric regression material available on iLearn. The assignment will cover:
Due: Examination period
Weighting: 60%
The Final Examination will be a three hour written exam (plus ten minutes reading time) and will be held during the examination period. The relevant statistical tables will be attached to the examination paper. Students will be permitted to take one A4 sheet, handwritten into the final examination. This sheet can be one-sided or two sided. This sheet must be submitted with your final exam paper at the conclusion of the final exam. The final exam will assess all topics of STAT680 except nonparametric regression.
The University Examination timetable will be available in draft form approximately eight weeks before the commencement of the examinations and in final form approximately four weeks before the commencement of the examinations at: http://www.timetables.mq.edu.au/
There is no prescribed textbook.
You will be required 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 (27 Feb) |
Review: One sample tests and one sided tests; |
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2 (6 Mar) |
Review: Two sample tests and validation and report writing |
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3 (13 Mar) |
Data collection and management; Rmarkdown | |
4 (20 Mar) |
One way ANOVA | iLearn quiz |
5 (27 Mar) |
One way ANOVA, Multiple comparisons and Transformations |
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6 (3 Apr) |
Transformations; Non-parametrics; Power and Sample Size | |
7* (10 Apr) |
No Lectures (Public Holiday) | Assignment 1 |
Mid-Semester Break | ||
8 (1 May) |
Simple linear regression and transformations | |
9 (8 May) |
Multiple regression |
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10 (15 May) |
Two-way ANOVA | |
11 (22 May) |
Two-way ANOVA continued and Multiple comparisons | |
12 (29 May) |
ANOVA - Regression connection |
Assignment 2 |
13 (5 Jun) |
Revision | |
*Public Holiday Friday 14th 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
Assessment Policy http://mq.edu.au/policy/docs/assessment/policy_2016.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 (in effect until Dec 4th, 2017): http://www.mq.edu.au/policy/docs/disruption_studies/policy.html
Special Consideration Policy (in effect from Dec 4th, 2017): https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policies/special-consideration
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.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
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.
For all student enquiries, visit Student Connect at ask.mq.edu.au
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
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:
iLearn quiz replacing the submission of the week 3 tutorial exercises.
Date | Description |
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22/02/2017 | Update contact/consultation room location |