Students

STAT8125 – Statistics Project

2020 – Session 2, Weekday attendance, North Ryde

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.

General Information

Download as PDF
Unit convenor and teaching staff Unit convenor and teaching staff
Credit points Credit points
10
Prerequisites Prerequisites
Admission to MAppStat and (40cp in BCA or STAT units at 8000 level)
Corequisites Corequisites
(STAT806 or STAT810 or STAT8310 or STAT6110) and (STAT811 or STAT8111) and (STAT821 or STAT8121) and (STAT878 or STAT8178)
Co-badged status Co-badged status
Unit description Unit description
This unit comprises a project which either reviews or develops an area of methodology or which discusses the use of statistical methods in a particular subject area.

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: apply appropriate statistical models/methods in planning and carrying out a significant statistical analysis project.
  • ULO2: demonstrate a deep understanding of statistical theory and methods.
  • ULO3: use modern statistical software packages in data analysis.
  • ULO4: communicate methods used and results obtained in a clear and concise manner suitable for a non-statistical audience.
  • ULO5: demonstrate the ability to undertake a statistics project independently.

General Assessment Information

It is unacceptable to not be in contact with the Unit Convenor (see Delivery and Resources) and then submit a project. If this happens a mark of 0 will be awarded.

Assessment Tasks

Name Weighting Hurdle Due
Project Report 100% No Week 13

Project Report

Assessment Type 1: Project
Indicative Time on Task 2: 98 hours
Due: Week 13
Weighting: 100%

 

Perform an analysis of a data set/simulation study and write a substantial report. Where appropriate a literature review should also be included.

 


On successful completion you will be able to:
  • apply appropriate statistical models/methods in planning and carrying out a significant statistical analysis project.
  • demonstrate a deep understanding of statistical theory and methods.
  • use modern statistical software packages in data analysis.
  • communicate methods used and results obtained in a clear and concise manner suitable for a non-statistical audience.
  • demonstrate the ability to undertake a statistics project independently.

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

In Week 1 a project will be provided by the Unit Convenor. Please note that the Fully online/virtual offering of this unit is different.

Every student enrolled in this offering of the unit should meet with the Unit Convenor at the same designated time each week. Attendance will be recorded.

Each student should submit the items listed in the Unit Schedule to the Unit Convenor to get feedback before the final submission of the project. In the weekly meeting the Unit Convenor will give individual and general feedback on the items. There will be no written feedback.

Unit Schedule

Each student should submit the following deliverables to the Unit Convenor. In the weekly meeting the Unit Convenor will give individual and general feedback. There will be no written feedback.

Week Deliverable
4 Submit data summaries and preliminary analysis on iLearn.
5 Submit initial writeup of results on iLearn.
8 Submit writeup of introduction, methods and results section on iLearn.
11 Submit first draft of completed report on iLearn.
12 Submit second draft of report on iLearn.

In the other weeks the weekly meeting will discuss the following topics.

Week Topic
1 Project data set
2 Data cleaning
3 Initial analysis
6 Additional analyses? Complete before Week 7.
7 How to write up the results section. Report writing in general.
9 Additional work that needs to be completed.
13 Last minute questions.

 

Policies and Procedures

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).

Student Code of Conduct

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

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

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Learning Skills

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. 

Student Services and Support

Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.

Student Enquiries

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

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.