Notice
As part of Phase 3 of our return to campus plan, most units will now run tutorials, seminars and other small group learning activities on campus for the second half-year, while keeping an online version available for those students unable to return or those who choose to continue their studies online.
To check the availability of face to face activities for your unit, please go to timetable viewer. To check detailed information on unit assessments visit your unit's iLearn space or consult your unit convenor.
Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor/Lecturer
Hassan Doosti
Contact via Contact via Email
12WW 534
please refer to iLearn
Lecturer
Kenneth Beath
Contact via Contact via Email
12WW 634
please refer to iLearn
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
STAT170 or STAT1170 or STAT150 or STAT1250 or STAT171 or STAT1371
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Corequisites |
Corequisites
STAT2170 or STAT2371 or BIOL2610 or PSYU2248
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Co-badged status |
Co-badged status
This unit is co-badged with STAT6114.
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Unit description |
Unit description
This unit introduces the fundamental principles of design of surveys and experiments. Survey design covers the following topics: quota sampling; question construction; common ambiguities and unintended biases; probability sampling; simple random sampling; stratified sampling; ratio and regression estimators; systematic sampling; and cluster sampling. Experimental design covers the following topics: the completely randomised design; randomised blocks; random effects models; and analysis of covariance.
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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:
HURDLES: No hurdle requirements
ASSIGNMENT SUBMISSION: Assignment submission will be online through the iLearn page.
Submit assignments online via the appropriate assignment link on the iLearn page. A personalised cover sheet is not required with online submissions. Read the submission statement carefully before accepting it as there are substantial penalties for making a false declaration.
You may submit as often as required prior to the due date/time. Please note that each submission will completely replace any previous submissions. It is in your interests to make frequent submissions of your partially completed work as insurance against technical or other problems near the submission deadline.
LATE SUBMISSION OF WORK: All assessment tasks must be submitted by the official due date and time. In the case of a late submission for a non-timed assessment (e.g. an assignment), if special consideration has NOT been granted, 20% of the earned mark will be deducted for each 24-hour period (or part thereof) that the submission is late for the first 2 days (including weekends and/or public holidays). For example, if an assignment is submitted 25 hours late, its mark will attract a penalty equal to 40% of the earned mark. After 2 days (including weekends and public holidays) a mark of 0% will be awarded. Timed assessment tasks (e.g. tests, examinations) do not fall under these rules.
FINAL EXAM POLICY: 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, that is, 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 special consideration via 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 this 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.
Name | Weighting | Hurdle | Due |
---|---|---|---|
Assignment 1 | 15% | No | Week 6 |
Mid-Semester Test | 15% | No | Week 8 |
Assignment 2 | 15% | No | Week 12 |
Final Exam | 55% | No | University Examination Period |
Assessment Type 1: Quantitative analysis task
Indicative Time on Task 2: 12 hours
Due: Week 6
Weighting: 15%
An assignment is set for students to complete independently, applying the knowledge gained from lectures, SGTA exercises, and their readings, and using statistical software. They will be made available on iLearn.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 12 hours
Due: Week 8
Weighting: 15%
A test will be made available on iLearn.
Assessment Type 1: Quantitative analysis task
Indicative Time on Task 2: 12 hours
Due: Week 12
Weighting: 15%
An assignment is set for students to complete independently, applying the knowledge gained from lectures, SGTA exercises, and their readings, with or without using statistical software. They will be made available on iLearn.
Assessment Type 1: Examination
Indicative Time on Task 2: 30 hours
Due: University Examination Period
Weighting: 55%
There will be a two-hour open-booked online examination (plus ten minutes reading time) during the official University Examination period.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Lectures: There is 1 x 3hr lecture each week.
SGTA’s: There is 1 x 1hr SGTA class each week.
Lecture notes will be made available on the unit iLearn page (https://iLearn.mq.edu.au/).
Recommended text:
These are available from the Co-Op Bookshop and the University library.
Other useful references (available in library Reserve):
Lindman HR (1992). Analysis of Variance in Experimental Design.
Montgomery DC. Design and Analysis of Experiments, 5th or 4th Edition.
Neter J, Wasserman W and Kutner M. Applied Linear Statistical Models.
Scheaffer RL, Mendenhall W and Ott RL (1996). Elementary Survey Sampling, 5th (or newer) Edition.
Cochran WG (1977). Sampling Techniques.
Moser CA & Kalton G (1971). Survey Methods in Social Investigations.
Barnett V (1974). Elements of Sampling Theory.
Software: Minitab is used in this unit. Information about Minitab can be found on its web site at http://www.minitab.com. This software is provided for free to Macquarie students, and can be downloaded from the student portal at http://students.mq.edu.au/home/ for home use.
Week |
Topic |
Chapter (Lohr) |
1 |
Introduction to surveys: sample survey and its principal steps, probability and non-probability sampling, and sources of error |
1 |
2 |
Simple random sampling (SRS); Parameter estimation |
2 |
3 |
SRS (contd): estimation of proportion; Stratified random sampling |
2, 4 |
4 |
Stratified random sampling (contd); Choosing strata sample sizes |
4, 3 |
5 |
Ratio and regression estimators |
3 |
6 |
Cluster sampling; Systematic sampling |
5 |
Week |
Topic |
Chapter (Kuehl) |
7 |
Designed experiments vs observational studies; Completely randomized design (CRD): one-way ANOVA |
1, 2 |
8 |
One-way ANOVA (contd); Contrasts |
2, 3 |
9 |
Contrasts (contd); Multiple comparisons; Model checking |
3, 4 |
10 |
More on CRD; Randomized block design (RBD) |
4, 8 |
11 |
Factorial experiments: two-way ANOVA; Random effects – one-way |
6, 5 , 11 |
12 |
Analysis of covariance |
7, 17, 11 |
Week 13: Revision (self study and exam preparation)
Macquarie University policies and procedures are accessible from Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit the Student Policy Gateway (https://students.mq.edu.au/support/study/student-policy-gateway). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
If you would like to see all the policies relevant to Learning and Teaching visit Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central).
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/study/getting-started/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) 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 or if you are a Global MBA student contact globalmba.support@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 help you improve your marks and take control of your study.
The Library provides online and face to face support to help you find and use relevant information resources.
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
If you are a Global MBA student contact globalmba.support@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.