Students
STAT6180 – Applied Statistics
2023 – Session 1, In person-scheduled-weekday, North Ryde
General Information
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| Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor/Instructor
Nan Zou
Instructor
Iris Jiang
Instructor
Thomas Fung
|
|---|---|
| Credit points |
Credit points
10
|
| Prerequisites |
Prerequisites
Admission to MAppStat or GradCertAppStat or GradDipAppStat or MSc or MDataSc or MLabQAMgt or GradDipLabQAMgt or GradCertLabQAMgt or MScInnovationStat
|
| Corequisites |
Corequisites
STAT6170 or STAT670
|
| Co-badged status |
Co-badged status
STAT2170
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| Unit description |
Unit description
This unit aims to extend and broaden statistical experience from STAT6170, 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 described. |
Important Academic Dates
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
Learning Outcomes
On successful completion of this unit, you will be able to:
- ULO1: Summarise data graphically and numerically and interpret them.
- ULO2: Apply appropriate statistical methods, such as one-way ANOVA, two-way ANOVA and multiple regression, to answer research questions.
- ULO3: Understand and evaluate the assumptions underlying the models, and modify the analysis if needed.
- ULO4: Use statistical software to create model output and interpret them.
General Assessment Information
Requirements to Pass this Unit
To pass this unit you must meet ALL of the following requirements:
- Achieve a total mark equal to or greater than 50%
Hurdle Assessments
- There is no Hurdle Assessment
Late Assessment Submission Penalty
Unless a Special Consideration request has been submitted and approved, a 5% penalty (of the total possible mark of the task) will be applied for each day a written report or presentation 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. The submission time for all uploaded assessments is 11:55 pm. A 1-hour grace period will be 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, please apply for Special Consideration.
Assessments where Late Submissions will be accepted
- Assignment (Week 11): YES, Standard Late Penalty applies
- Other Assessments: NO, unless Special Consideration is Granted
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. If you experience circumstances or events that affect your ability to complete the assessments in this unit on time, please inform the convenor and submit a Special Consideration request through ask.mq.edu.au.
Assessment Tasks
| Name | Weighting | Hurdle | Due |
|---|---|---|---|
| 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 |
iLearn Quiz
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 1 hours
Due: Week 4
Weighting: 20%
The quiz will become available on iLearn.
On successful completion you will be able to:
- Summarise data graphically and numerically and interpret them.
- Apply appropriate statistical methods, such as one-way ANOVA, two-way ANOVA and multiple regression, to answer research questions.
- Understand and evaluate the assumptions underlying the models, and modify the analysis if needed.
- Use statistical software to create model output and interpret them.
Mid-Semester Test
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 1 hours
Due: Week 7
Weighting: 25%
Mid-semester Test
On successful completion you will be able to:
- Summarise data graphically and numerically and interpret them.
- Apply appropriate statistical methods, such as one-way ANOVA, two-way ANOVA and multiple regression, to answer research questions.
- Understand and evaluate the assumptions underlying the models, and modify the analysis if needed.
- Use statistical software to create model output and interpret them.
Assignment
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.
On successful completion you will be able to:
- Summarise data graphically and numerically and interpret them.
- Apply appropriate statistical methods, such as one-way ANOVA, two-way ANOVA and multiple regression, to answer research questions.
- Understand and evaluate the assumptions underlying the models, and modify the analysis if needed.
- Use statistical software to create model output and interpret them.
Final Exam
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.
On successful completion you will be able to:
- Summarise data graphically and numerically and interpret them.
- Apply appropriate statistical methods, such as one-way ANOVA, two-way ANOVA and multiple regression, to answer research questions.
- Understand and evaluate the assumptions underlying the models, and modify the analysis if needed.
- Use statistical software to create model output and interpret them.
1 If you need help with your assignment, please contact:
- the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
- the Writing Centre for academic skills support.
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Delivery and Resources
SGTA: SGTAs will start from Week 2. Attending SGTAs is not required but is strongly recommended.
Discussion Forum & Consultation Hours: if you have any questions on the math/programming aspects of lectures or assessments, you could either post these questions on our iLearn discussion forum or visit our office hours. The discussion forum is a platform for you and your classmates to discuss the unit with each other, although we will pop in from time to time. The office hour will be released in the upper right corner of our iLearn webpage.
Email: We will communicate with you via your university email or through announcements on iLearn. If you have any questions on the logistics part of this unit or any urgent issues, you can always email Nan at nan.zou@mq.edu.au and Nan will do his best to help.
COVID Information: For the latest information on the University’s response to COVID-19, please refer to the Coronavirus 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 the semester. If there are any changes to this unit in relation to COVID, these will be communicated via iLearn.
Unit Schedule
|
Week |
Lectures | Work due |
|---|---|---|
|
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 quiz |
|
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 Exam |
| Mid-Semester Break | ||
|
8 |
Multiple regression and model validation | |
|
9 |
Extensions and examples of multiple regression |
|
|
10 |
Two-way ANOVA | |
|
11 |
Two-way ANOVA continued and multiple comparisons | Assignment |
|
12 |
Two-Way ANOVA and multiple regression connection |
|
|
13 |
Review |
Policies and Procedures
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:
- Academic Appeals Policy
- Academic Integrity Policy
- Academic Progression Policy
- Assessment Policy
- Fitness to Practice Procedure
- Assessment Procedure
- Complaints Resolution Procedure for Students and Members of the Public
- Special Consideration Policy
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.
Student Code of Conduct
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
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
Academic Integrity
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.
Student Support
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
The Writing Centre
The Writing Centre provides resources to develop your English language proficiency, academic writing, and communication skills.
- Workshops
- Chat with a WriteWISE peer writing leader
- Access StudyWISE
- Upload an assignment to Studiosity
- Complete the Academic Integrity Module
The Library provides online and face to face support to help you find and use relevant information resources.
Student Services and Support
Macquarie University offers a range of Student Support Services including:
- IT Support
- Accessibility and disability support with study
- Mental health support
- Safety support to respond to bullying, harassment, sexual harassment and sexual assault
- Social support including information about finances, tenancy and legal issues
- Student Advocacy provides independent advice on MQ policies, procedures, and processes
Student Enquiries
Got a question? Ask us via AskMQ, or contact Service Connect.
IT Help
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.
Unit information based on version 2023.02 of the Handbook