Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor
Gillian Heller
Contact via gillian.heller@mq.edu.au
E4A 533
Thursday 12-2 pm
Lecturer
Robin Van Den Honert
Contact via rob.vandenhonert@mq.edu.au
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Credit points |
Credit points
3
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Prerequisites |
Prerequisites
39cp including (STAT270(P) or STAT271(P) or BIOL235(P) or PSY222(P) or PSY248(P))
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit discusses statistical modelling in general and in particular demonstrates the wide applicability of linear and generalised linear models. Topics include multiple linear regression, logistic regression and Poisson regression. The emphasis is on practical issues in data analysis with some reference to the theoretical background. Statistical packages are used for both model fitting and diagnostic testing.
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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 | Due |
---|---|---|
Assignment 1 | 15% | 31 March |
Assignment 2 | 15% | 12 May |
Assignment 3 | 15% | 2 June |
Tutorials | 5% | 3 March - 9 June |
Examination | 50% | TBA |
Due: 31 March
Weighting: 15%
There are three assignments, worth 15% each. They should be submitted to the lecturer, by the due time and date. They give you an opportunity to reinforce and apply the concepts covered in lectures and the skills learned in tutorial sessions. Extensions to assignments are at the discretion of the lecturer. It is the responsibility of the student to prove that there has been unavoidable disruption. Marks will be deducted for late submissions in the absence of an approved extension, at a rate of 5% of the total mark per day late.
In order to pass the unit, students need to perform satisfactorily (i.e. achieve at least 50%) on all components of assessment.
Due: 12 May
Weighting: 15%
As Assignment 1.
Due: 2 June
Weighting: 15%
As Assignment 1.
Due: 3 March - 9 June
Weighting: 5%
A mark worth 5% of your final mark, will be given for your participation in the laboratory tutorials, on the basis of collected laboratory sheets.
Due: TBA
Weighting: 50%
The examination will cover the material studied in the whole unit and address all the unit outcomes. You may take one A4 sheet, handwritten on both sides, into the final examination.
Grading in this Unit
The final Standardised Numerical Grade (SNG) in STAT375 will be based on students’ work during the semester and in the final examination. The determination of the final SNG will be based on performance of individual assessment tasks against criteria and standards as detailed in the Grading Policy (http://mq.edu.au/policy/docs/grading/policy.html). Final grades will be awarded on the basis of students’ overall performance and the extent to which they demonstrate fulfillment of the learning outcomes listed for this unit.
You MUST perform satisfactorily in the final examination in order to pass the unit, regardless of your performance throughout the semester.
A supplementary examination will only be granted if a student has satisfactory coursework (ie. at least 25 marks out of 50). If a supplementary exam is granted as a result of the Special Consideration process, it will be scheduled after the conclusion of the official exam period.
The only exception to not sitting an examination at the designated time is because of documented illness or unavoidable disruption. In these circumstances you may wish to consider applying for Special Consideration. It is Macquarie University policy not to set early examinations for individuals or groups of students. You are expected to be available until the end of the teaching semester, that is the final day of the official examination period.
You should attend the following classes each week:
· 2 hour lecture: Monday 12 - 2pm pm, W5C 302
· 2 hour laboratory tutorial: Monday 4 - 6 pm, E4B 102
Lectures begin in Week 1. Students should print off the course notes from iLearn, and bring them to lectures.
Tutorials begin in week 1 and are based on work from the current week’s lecture. Tutorials are held in the computing lab E4B 102 and allow you to practise techniques learnt in lectures. We will mainly use SPSS, but we will supplement this with other statistical software. You will complete worksheets as part of the learning process. SPSS is installed in the computing labs in E4B, and will be used in tutorial sessions and for assignments. Assignments may be completed in these rooms. It is most convenient to bring a memory stick when using these computers.
Text book The recommended text (available from the Co-op Bookshop) is: Chatterjee S & Hadi AS (2012). Regression Analysis By Example, 5th Edition, Wiley
Calculator You will need a calculator with statistical mode for the final examination.
Software The statistical software SPSS will be the main package used. In addition, we will be demonstrating applications using other statistical software such as Minitab and Arc. All of this software is available in the computer labs in E4B.
Staff consultation hours Members of the Statistics Department have consultation hours each week when they are available to help students. These consultation hours are listed on the doors of the Statistics staff located on E4A level 5.
Changes since previous offering There are no substantial changes.
Date |
Week |
Topic |
Text chapter |
Assessment |
3 Mar |
1 |
Simple linear regression |
1,2 |
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10 Mar |
2 |
Simple linear regression contd, introduction to multiple linear regression |
2 |
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17 Mar |
3 |
The model in matrix form, hypothesis tests, residuals, residual & partial regression plots |
3,4 |
Assignment 1 handed out |
24 Mar |
4 |
Diagnostics contd: extreme observations (leverage, DFBETAs, Cook’s distances); transformations |
4, 6 |
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31 Mar |
5 |
Transformations contd; collinearity |
6, 9 |
Assignment 1 handed in |
7 April |
6 |
Polynomial regression; categorical covariates |
5 |
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Mid-semester break |
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28 April |
7 |
Analysis of change |
- |
Assignment 2 handed out |
5 May |
8 |
Interaction and confounding |
5 |
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12 May |
9 |
Variable selection, model building |
11 |
Assignment 2 handed in |
19 May |
10 |
Introduction to generalized linear models; Logistic regression |
12 |
Assignment 3 handed out |
26 May |
11 |
Logistic regression ; Poisson regression |
12, 13 |
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2 June |
12 |
Poisson regression |
13 |
Assignment 3 handed in |
9 June |
13 |
No lecture (public holiday) |
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Assignment 3 handed back in tutorial |
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.html
Grading Policy http://mq.edu.au/policy/docs/grading/policy.html
Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html
Grievance Management Policy http://mq.edu.au/policy/docs/grievance_management/policy.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/
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://informatics.mq.edu.au/help/.
When using the University's IT, you must adhere to the Acceptable Use Policy. The policy applies to all who connect to the MQ network including students.
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