Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor
Kehui Luo
Contact via kehui.luo@mq.edu.au
E4A532
Thursday 10-12pm
Hassan Doosti
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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
Co-taught with 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:
Name | Weighting | Hurdle | Due |
---|---|---|---|
Tutorial participation | 5% | No | Ongoing |
Tutorial exercises | 5% | No | Next tutorial class |
Assignments | 30% | No | Friday (Week 6, 8 & 12) |
Examination | 60% | No | University Examination Period |
Due: Ongoing
Weighting: 5%
Students are required to attend a 1-hour tutorial per week from Week 2. A mark of from 0 (never attended or very rarely attended tutorials) to 5 (attending and actively participating all tutorials) will be awarded according to your attendance and participation in tutorials. To pass the unit, you need to attend and participate in at least eight (8) tutorials.
Due: Next tutorial class
Weighting: 5%
Each week a set of tutorial exercises will be made available for you to work on and then discussed in the tutorial of the following week.
Your solutions to the tutorial must be handed in or shown (as instructed) to the tutor at each tutorial session. For each tutorial exercise, a mark of 0, 1 or 2 will be awarded depending on whether a reasonable attempt has been made. Marked tutorial will be returned to you at the tutorial class in the following week. To pass the unit, you need to complete at least eight (8) tutorial exercises.
Students must keep a soft or hard copy of any tutorial that they submit. In the event of their tutorial being misplaced, a replacement will be requested.
Due: Friday (Week 6, 8 & 12)
Weighting: 30%
Three assignments are set for students to complete independently, applying the knowledge gained from lecture(s) and their own reading, with and/or without using the statistical software, Minitab.
Note:
The three assignments will be made available on the unit iLearn. Details about due date and submission for each assignment will be included in the assignment. Students who are unable to submit any assignment on time, because of illness or some other causes, must report the circumstances in writing to the lecturer in charge and may consider applying for Special Consideration. Request for Special Consideration should be lodged via MQ Student Admin at https://ask.mq.edu.au/index.php. No extensions will be granted. Students who have not submitted an assignment prior to the deadline will be awarded a mark of 0 for the assignment, except for cases in which an application for special consideration is made and approved.
Marked assignments will be handed back to the student within two to three weeks after the due date.
Students must keep a soft or hard copy of any assignment that they submit. In the event of their assignment being misplaced, a replacement will be requested.
Due: University Examination Period
Weighting: 60%
The final examination is used to assess students’ understanding of the material presented in the unit.
The final examination will be a three hour written exam (plus ten minutes reading time) and will be held during the examination period which runs from 16 June to 4 July, 2014. It will examine any materials covered in the unit. Relevant statistical tables will be attached to the final examination. Students will be permitted to take Two A4 sheets, handwritten on both sides, into the final examination. The right to bring two A4 sheets into the examination may be forfeited in any supplementary examination, on the grounds that extra preparation time will have been available to the candidate. Calculators (non text returnable) should be brought into the exam. No other electronic devices (e.g. mobile phones, mp3 players) are allowed during the exam.
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/exam
You 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 session, which is the final day of the official examination period.
Attendance at the examination is compulsory. 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. Information about unavoidable disruption and the special consideration process and policy is available at: http://www.mq.edu.au/policy/docs/special_consideration/policy.html. Student Request for Special Consideration should be lodged via MQ Student Admin at https://ask.mq.edu.au/index.php.
Special Consideration will only be granted to students whose performance in all parts of the coursework is satisfactory. In particular, you must have obtained at least 20 out of the total 40 marks in the coursework and participated at least eight tutorial classes.
If a Supplementary Examination is granted as a result of the Special Consideration process, the examination will be scheduled after the conclusion of the official examination period.
Note carefully:
Your final grade in STAT373 will be based on your work during the semester and in the final examination. You need to achieve the same standards in the assessment tasks during the semester and the final examination to be awarded a particular grade as set out in the Grading Policy.
In order to pass STAT373 students must satisfy each of the following requirements:
* Attend, participate and complete exercises in at least eight (8) tutorials.
* Submit all assignments on time and perform satisfactorily (ie, achieve pass standard).
* Perform satisfactorily (ie, achieve pass standard) in the final examination.
* Perform satisfactorily (ie, achieve pass standard) in the overall assessment.
Students are required to attend a 3-hour lecture per week beginning in Week 1, and a 1-hour laboratory tutorial class 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 at 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.
The recommended text for this unit is
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.
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. We are currently using version 16 (or newer). It is available in all E4B computing labs on campus. 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/.
Calculator: An electronic calculator is required throughout this unit. Only non-text returnable calculators are permitted to be used in the final examination.
Unit Web Page and iLearn access: The unit web page is available on iLearn and can be accessed at: http://ilearn.mq.edu.au, under the ’STAT373 Design of Surveys and Experiments /STAT814_STAT714 Statistical Design’ link.
Weekly lecture notes, including power point slides and iLectures, will be made available on iLearn. Other course materials including assignments, tutorial exercises and their solutions, and relevant data files can also be downloaded from iLearn.
The Discussion Forum on the unit iLearn can be used for online discussion with other students enrolled in STAT373/STAT814/STAT714 on any problems or topics related to the unit.
To login into iLearn, you will be asked for your Macquarie OneID number and myMQ Portal password. If you have any problem accessing this website, you should visit Student Help web site at www.mq.edu.au/iLearn/help-pages/students.htm. Note that you should visit this web site regularly for updated course materials, and also possible announcements placed by the Lecturer.
If iLearn site is down, students can send an e-mail to the lecturer, using their Macquarie University student e-mail accounts. Furthermore, students should check and read their Macquarie University student e-mail account on a regular basis.
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.
Tutorial Exercises: Each week a set of tutorial exercises will be made available for students to practice. Students are required to attend a 1-hour tutorial per week from Week 2 and complete the tutorial exercises for the week before coming to their tutorial class. Its solution will be discussed in the tutorial class of the following week, and 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 (when possible) will be made available to students later on iLearn.
Your final grade in STAT373 will be based on your work during semester and in the final examination as specified in the Assessment Tasks. The grades allocated are as set out in the Grading Policy at http://www.mq.edu.au/policy/docs/grading/policy.html. Your final result will include one of these grades plus a standardised numerical grade (SNG).
No major differences from previous offering.
STAT 373/STAT 814/STAT714
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), multiple comparisons and model 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, 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 |
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Note: There may be minor deviations from this timetable if insufficient time is available for some topics.
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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