Unit convenor and teaching staff |
Unit convenor and teaching staff
Kenneth Beath
Hassan Doosti
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Credit points |
Credit points
3
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Prerequisites |
Prerequisites
6cp at 200 level including (STAT270 or STAT271 or BIOL235(P) or PSY222 or PSY248(P))
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
STAT814/STAT714
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Unit description |
Unit description
This unit deals with the gathering and analysis of data. Students are given the foundations of survey design with some discussion of 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. The other component of the unit is a discussion of designed experiments and 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:
All assessment tasks must be submitted by its due date and time.
No marks will be given for late submission or work unless an extension has been granted following a successful application for Special Consideration via ask.mq.edu.au. Please contact the unit convenor for advice as soon as you become aware that you may have difficulty meeting any of the assessment (eg, assignment) deadlines.
Final Examination:
If you apply for Special Consideration for the final examination, you must make yourself available for the Supplementary Examination as organised by the Faculty of Science & Engineering.
If you are not available at that time, there is no guarantee that an additional examination time will be offered. Specific examination dates and times will be determined at a later date.
Name | Weighting | Hurdle | Due |
---|---|---|---|
SGTA work | 10% | No | Weeks 2-13 |
Assignments | 30% | No | Tuesday (Week 6, 9 & 12) |
Examination | 60% | No | University Examination Period |
Due: Weeks 2-13
Weighting: 10%
Each week a set of Small Group Teaching Activity (SGTA) exercises is made available on iLearn for students to practice. Each SGTA should be completed before participating in a 1-hour SGTA class per week from Week 2 to Week 13. Students are required to have their solutions to these STGAs checked and recorded by the STGA Instructor during classes for 10 (1% each) of the 12 weekly STGA exercises.
For late submission, please refer to the information under General Assessment Information section in this unit guide.
Due: Tuesday (Week 6, 9 & 12)
Weighting: 30%
Three assignments (10% each) are set for students to complete independently, applying the knowledge gained from lectures, SGTA exercises and their own reading, with and/or without using the statistical software, Minitab. They will be made available on iLearn.
Each of the three assignments are required to be submitted on the unit iLearn by its due date and time, which will be included in the assignment.
For late submission, please refer to the information under General Assessment Information section in this unit guide.
Due: University Examination Period
Weighting: 60%
There will be a two-hour written examination during the official University Examination period. The University Examination Timetable will be available in draft form approximately eight weeks before the commencement of the the University examinations and in final form approximately four weeks before the commencement of the examinations at: http://students.mq.edu.au/student_admin/exams/
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 apply for the Special Consideration for the final examination, you must make yourself available for the Supplementary Examination as organised by the Faculty of Science & Engineering. If you are not available at that time, there is no guarantee that an additional examination time will be offered.
Students are required to attend one 3-hour lecture per week beginning in Week 1, and one 1-hour SGTA class in computer laboratory beginning in Week 2.
Times and locations for all classes can be found on the University web site at: www.timetables.mq.edu.au. In the case of changing classes, time and/or location, you will be informed at the lecture and/or on the unit iLearn in advance.
Note: You are welcome to come to see the lecturer during staff consultation time with questions related to the unit. You could also contact the lecturer by e-mail or telephone. Only the Macquarie University student e-mail accounts may be used to communicate with staff.
Weekly lecture notes will be made available on the unit iLearn (https://iLearn.mq.edu.au/) at least one day before the lecture. Students should print out and bring the relevant lecture notes into the lecture.
Recommended text
Kuehl, R.O. (2000 or newer). Statistical Principles of Research Design and Analysis, Second edition, Duxbury Press, for Experiment Design; Lohr, S.L. (2010). Sampling: Design and Analysis, Duxbury Press, for Survey Design. 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. Students can also use Minitab online via iLab (https://wiki.mq.edu.au/display/iLab/About). Remember that any work or results produced via iLab in all computing labs on the University campus must be saved onto iLab desktop and then emailed to yourself.
Calculator: An electronic calculator is required throughout this unit. Only calculators with no text retrieval capacity are permitted to be used in the examination.
Unit Web Page and iLearn access: The unit web page is available on iLearn under the ’STAT373 Design of Surveys and Experiments/STAT814_STAT714 Statistical Design’ link. Enrolment in STAT373 should automatically make this iLearn site available to you from the start of semester. To access it, log in at https://ilearn.mq.edu.au/login/MQ/ and select STAT373 from your list of iLearn units. If STAT373 doesn’t appear, although you enrolled in the unit more than 24 hours ago, please contact the Unit Convenor immediately. Note that you should visit this web site regularly for course materials including lecture slides, lecture recordings, tutorials and assignments, and also possible announcements placed by the Lecturer.
The Discussion Forum on the unit iLearn can be used for online discussion with other students enrolled in STAT373 (also STAT814 and STAT714 if any) on any problems or topics related to the unit. The lecturer will visit the Forum from time to time.
Learning and Teaching activities
Lectures: Lectures begin in Week 1. Students are required to attend a 3-hour lecture each week. Topic(s) for each week are set in the Unit Schedule in this unit guide. Students are encouraged to read the relevant chapter(s) recommended before coming to the lecture.
An iLecture will be recorded for each lecture when possible and made available on the unit iLearn (under ECHO360) soon after the lecture is completed.
SGTA and SGTA exercises: Students are required to attend one 1-hour SGTA per week from Week 2. A set of SGTA exercises will be made available each week for students to practice. Students should complete the relevant exercises before coming to their class where their work is checked by the instructor and the solution to the exercises is discussed. The solutions will be also made available on iLearn soon after the class.
Assignments: Three assignments are set in this unit for students to complete independently. To assist with further learning, solutions to the assignments will be made available later on iLearn.
STAT 373
Week |
Topic |
Chapter (Kuehl) |
1 |
Designed experiments vs observational studies; Completely randomized design (CRD): one-way ANOVA |
1, 2 |
2 |
One-way ANOVA (contd); Contrasts |
2, 3 |
3 |
Contrasts (contd) and multiple comparisons; Mdel checking |
3, 4 |
4 |
More on CRD; Randomized block design (RBD) |
4, 8 |
5 |
Factorial experiments: two-way ANOVA; Random effects – one-way |
6, 5 , 11 |
6 |
Analysis of covariance |
7, 17, 11 |
Week |
Topic |
Chapter (Lohr) |
7 |
Introduction to surveys: sample survey and its principal steps, probability and non-probability sampling, sources of error and simple random sampling |
1 |
8 |
Simple randome sampling (SRS): infinite population, finite population and parameter estimation |
2 |
9 |
SRS (contd): estimation of proportion; Stratified random sampling |
2, 4 |
10 |
Stratified random sampling (contd); Choosing strata sample sizes |
4, 3 |
11 |
Ratio and regression estimators |
3 |
12 |
Cluster sampling; Systematic sampling |
5 |
13 |
Revision (Self study and exam preparation) |
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No major differences from previous offering.