Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor
Gillian Heller
Contact via gillian.heller@mq.edu.au
Level 2, Australian Hearing Hub
Monday 9-10am; 1-2pm
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Credit points |
Credit points
3
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Prerequisites |
Prerequisites
6cp at 200 level 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:
Extensions to assignments are at the discretion of the lecturer. It is the responsibility of the student to prove that there has been Disruption to Studies. If no extension has been given, 5% of the earned mark for an assignment will be deducted for each day that an assignment is late, up to a maximum of 50%.
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.
In order to pass the unit, students need to perform satisfactorily (i.e. achieve at least 50%) on all components of assessment, including the final examination
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 Disruption to Studies. 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 Disruption to Studies process, it will be scheduled after the conclusion of the official exam period.
Name | Weighting | Due |
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Assignment 1 | 15% | 8 April |
Assignment 2 | 15% | 13 May |
Assignment 3 | 15% | 3 June |
Tutorials | 5% | - |
Examination | 50% | TBA |
Due: 8 April
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.
Due: 13 May
Weighting: 15%
As Assignment 1.
Due: 3 June
Weighting: 15%
As Assignment 1.
Due: -
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.
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: Friday 9 - 11am, E4B 206
· 2 hour laboratory tutorial: Friday 12 - 2pm, E4B 206
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 206 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 available on iLearn.
Date |
Week |
Topic |
Text chapter |
Assessment |
4 Mar |
1 |
Simple linear regression |
1,2 |
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11 Mar |
2 |
Simple linear regression contd, introduction to multiple linear regression |
2 |
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18 Mar |
3 |
The model in matrix form, hypothesis tests, residuals, residual & partial regression plots |
3,4 |
Assignment 1 handed out |
25 Mar |
4 |
No lecture (public holiday) |
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1 Apr |
5 |
Diagnostics contd: extreme observations (leverage, DFBETAs, Cook’s distances); transformations |
4, 6 |
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8 Apr |
6 |
Transformations contd; collinearity |
6, 9 |
Assignment 1 handed in |
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Mid-semester break |
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29 April |
7 |
Polynomial regression; categorical covariates |
5 |
Assignment 2 handed out |
6 May |
8 |
Analysis of change |
- |
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13 May |
9 |
Interaction and confounding |
5 |
Assignment 2 handed in |
20 May |
10 |
Variable selection, model building |
11 |
Assignment 3 handed out |
27 May |
11 |
Introduction to generalized linear models; Logistic regression |
12 |
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3 June |
12 |
Logistic regression ; Poisson regression |
12, 13 |
Assignment 3 handed in |
10 June |
13 |
Poisson regression |
13 |
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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.
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.
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