Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit convenor
Maurizio Manuguerra
Contact via maurizio.manuguerra@mq.edu.au
12WW 6.34
By appointment (details on iLearn)
Lecturer
Yunwei Zhang
Contact via yunwei.zhang@mq.edu.au
12WW - Office TBA
By appointment (details on iLearn)
Lecturer
Ali Shariati
Contact via ali.shariati@mq.edu.au
12WW - TBA
See iLearn
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
FOSE1015 or STAT170(P) or STAT1170 or STAT171 or STAT1371 or STAT150 or STAT1250
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
STAT6180
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Unit description |
Unit description
This unit aims to extend and broaden statistical experience from 1000-level statistics units, with a focus on application to real-world analysis. It covers relationships between categorical or continuous explanatory variables and a continuous response variable using the techniques of one-way and two-way analysis of variance and simple and multiple linear regression. Data management, report writing, graphical presentation of results, and power analysis are discussed. |
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:
Requirements to Pass this Unit
To pass this unit you must:
Achieve a total mark equal to or greater than 50%, and
Participate in, and undertake all the Practice-based activities for a minimum of 10 of the 12 weekly SGTAs.
Hurdle Assessments
Most of our hurdle assessments are linked to our teaching activities.
Assessment 1: Practice-based skills for SGTA classes (0%)
Development of knowledge and skills requires continual practice. During SGTAs you will practice a range of statistical techniques. To pass this hurdle assessment, you must be able to demonstrate your progress in developing and communicating knowledge and skills in 10 out of 12 SGTAs. This is a hurdle assessment meaning that failure to meet this requirement may result in a fail grade for the unit. Students are permitted up to two absences: additional absences will require a Special Consideration to be applied for (see below).
Late Assessment Submission Penalty
Unless a Special Consideration request has been submitted and approved, a 5% penalty (of the total possible mark) will be applied each day a written assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a grade of 0 will be awarded even if the assessment is submitted. Submission time for all written assessments is set at 11:55 pm. A 1-hour grace period is provided to students who experience a technical concern.
For any late submission of time-sensitive tasks, such as scheduled tests/exams, performance assessments/presentations, and/or scheduled practical assessments/labs, students need to submit an application for Special Consideration.
Assessments where Late Submissions will be accepted.
Special Consideration
The Special Consideration Policy aims to support students who have been impacted by short-term circumstances or events that are serious, unavoidable and significantly disruptive, and which may affect their performance in assessment.
Written Assessments/Quizzes/Tests: If you experience circumstances or events that affect your ability to complete the written assessments in this unit on time, please inform the convenor and submit a Special Consideration request through ask.mq.edu.au.
Weekly practice-based tasks for SGTA classes: To pass the unit you need to demonstrate ongoing development of skills and application of knowledge in 10 out of 12 of the weekly SGTA classes. If you miss a weekly SGTA class due to a serious, unavoidable and significant disruption, contact your convenor ASAP as you may be able to attend another class that week.
If it is not possible to attend another class, you should still contact your convenor for access to class material to review in your own time.
Note that a Special Consideration should only be applied for if you miss more than two of the weekly SGTA classes.
Name | Weighting | Hurdle | Due |
---|---|---|---|
Practice Based Skills | 0% | Yes | Weekly |
iLearn Quiz | 20% | No | Week 4 |
Mid-Semester Test | 25% | No | Week 7 |
Assignment | 25% | No | Week 11 |
Final Exam | 30% | No | Formal Examination Period |
Assessment Type 1: Practice-based task
Indicative Time on Task 2: 6 hours
Due: Weekly
Weighting: 0%
This is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks)
Development of knowledge and skills requires continual practice. During SGTAs you will practice a range of statistical & computational techniques. To pass this hurdle assessment, you must be able to demonstrate your progress in developing and communicating knowledge and skills in 10 out of 12 SGTAs.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 1 hours
Due: Week 4
Weighting: 20%
The quiz will become available on iLearn.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 1 hours
Due: Week 7
Weighting: 25%
Mid-Semester Test
Assessment Type 1: Quantitative analysis task
Indicative Time on Task 2: 10 hours
Due: Week 11
Weighting: 25%
The assignment will cover all learning outcomes.
Assessment Type 1: Examination
Indicative Time on Task 2: 2 hours
Due: Formal Examination Period
Weighting: 30%
Formal invigilated examination testing the learning outcomes of the unit.
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
Classes
Lectures (beginning in Week 1): There is one two-hour lectures each week.
SGTA classes (beginning in Week 2): Students must register in and attend one two-hour class per week.
The timetable for classes can be found on the University website at: http://publish.mq.edu.au/
Enrolment can be managed using eStudent at: https://students.mq.edu.au/support/technology/systems/estudent
Suggested textbooks
The following textbook is useful as supplementary resources, for additional questions and explanations. They are available from the Macquarie University library:
Technology Used and Required
This subject requires the use of the following computer software:
Communication
We will communicate with you via your university email or through announcements on iLearn. Queries to convenors can either be placed on the iLearn discussion forum or sent to your lecturers from your university email address.
COVID Information
For the latest information on the University’s response to COVID-19, please refer to the Coron- avirus infection page on the Macquarie website: https://www.mq.edu.au/about/coronavirus-faqs. Remember to check this page regularly in case the information and requirements change during semester. If there are any changes to this unit in relation to COVID, these will be communicated via iLearn.
This is a draft schedule and is subjected to change.
Week | Topics | Assessment |
---|---|---|
1 | Course introduction; One-sided tests; Type I and Type II error; Introduction to R/RStudio | |
2 | Modified two-sample t-test; Assessing normality and equal variance assumptions | |
3 | One way ANOVA | |
4 | One way ANOVA, Multiple comparisons | iLearn Quizzes Due |
5 | Transformations; Non-parametrics; Power and Sample Size | |
6 | Data management; R Markdown; Simple linear regression | |
7 | Simple linear regression and model validation; Multiple regression | Mid-Semester Test Due |
8 | Multiple regression and model validation | |
Session Break | ||
9 | Extensions and examples of multiple regression | |
10 | Two-way ANOVA | |
11 | Two-Way ANOVA and Multiple Comparisons | Assignment Due |
12 | Two-Way ANOVA, Regression and Multiple Comparisons | |
13 | Exam Details and Revision |
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/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 connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
The Writing Centre provides resources to develop your English language proficiency, academic writing, and communication skills.
The Library provides online and face to face support to help you find and use relevant information resources.
Macquarie University offers a range of Student Support Services including:
Got a question? Ask us via the Service Connect Portal, or contact Service Connect.
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.
We value student feedback to be able to continually improve the way we offer our units. As such we encourage students to provide constructive feedback via student surveys, to the teaching staff directly, or via the FSE Student Experience & Feedback link in the iLearn page.
Unit information based on version 2024.01R of the Handbook