Unit convenor and teaching staff |
Unit convenor and teaching staff
Jun Ma
Karol Binkowski
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
STAT6170, STAT1170, FOSX1015
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Unit description |
Unit description
This unit provides a broad introduction to statistical concepts and data analysis techniques. You will develop an understanding of statistical practice through a study of those techniques most commonly used in the sciences, social sciences and humanities. Topics covered in this unit include data collection methods, data quality, data summarisation, and statistical models such as the normal distribution, followed by sampling distributions and statistical inferences about means and proportions. Also studied are methods of analysis relating to comparisons, counted data and relationships, including regression and correlation. Statistical computer packages are used for handling and analysing data. However, no prior computing knowledge is assumed. This unit introduces vital skills for tertiary learning and explores their relationship to success in future careers. |
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:
The "Indicative Time on Task" for each task is automatically generated, and potentially confusing. The times given for the tests (2 hours each) are just estimates; for each student, this will depend on how many times the test is attempted. The times allocated to activity participation (each 0 hours) should be ignored.
REQUIREMENTS TO PASS THIS UNIT
To pass this unit you must:
HURDLE ASSESSMENTS
LATE ASSESSMENT SUBMISSION PENALTY
This unit has no submitted work so LATE ASSESSMENT POLICY does not apply. For missing Module Quizzes, please see the details of "Assessment 3" give above.
SPECIAL CONSIDERATION
The Special Consideration Policy aims to support students who have been impacted by shortterm circumstances or events that are serious, unavoidable and significantly disruptive, and which may affect their performance in assessment.
For this unit, a student will apply for a Special Consideration ONLY if this student miss a Module Test for more than 3 days. If a student miss a Module test for less than or equal to 3 days, they should apply for an extension through "stat1170.admin@mq.edu.au".
EMPLOYABILITY SKILLS: This unit has been designed so that 20% of student workload is allocated to employability skills. The employability skills modules are not graded, but the modules are hurdle tasks: you must complete the activities as outlined in order to pass this unit. Some activities will be automatically graded, but all will ask you to apply the modules to your work in this unit, general university studies and your personal goals. You will be informed of any due dates, but most modules can be completed in your own time. See your iLearn unit for detailed information on how to complete the skills modules.
FINAL EXAM POLICY: There is no final exam for this unit.
Name | Weighting | Hurdle | Due |
---|---|---|---|
Practice Based Skills for SGTA classes | 0% | Yes | Each SGTA class |
Practice Based Skills for practical classes | 0% | Yes | Each practice class |
Module Tests | 100% | Yes | Weeks 4, 6, 8, 10, and 12 |
Foundation activities | 0% | Yes | Weeks 1, 2, 3, 5, 7 |
Assessment Type 1: Practice-based task
Indicative Time on Task 2: 0 hours
Due: Each SGTA class
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 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: Practice-based task
Indicative Time on Task 2: 0 hours
Due: Each practice class
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 Practicals 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 Practicals.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 10 hours
Due: Weeks 4, 6, 8, 10, and 12
Weighting: 100%
This is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks)
This unit consists of modules. At the end of each module there is a Module test, in which the student is required to demonstrate mastery of the material covered in that module.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 0 hours
Due: Weeks 1, 2, 3, 5, 7
Weighting: 0%
This is a hurdle assessment task (see assessment policy for more information on hurdle assessment tasks)
Activities related to foundational employability and self-directed learning skills
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
Off-shore students must email stat1170.admin@mq.edu.au as soon as possible to discuss study options.
The statistics content will be delivered in classes from Week 1 to Week 11. Specifically, students should work through the following material on a weekly basis:
Some activities will be available in connection to the employability modules, especially near the end of semester. Details will be announced via iLearn.
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 board or sent to your lecturers [or stat1170.admin@mq.edu.au] from your university email address.
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 semester. If there are any changes to this unit in relation to COVID, these will be communicated via iLearn.
Assistance
For help with any matters related to this unit, students should contact the appropriate department staff, by emailing stat1170.admin@mq.edu.au.
Recommended textbook for this unit:
Other recommended reading:
iLearn (a version of Moodle) is used for delivery of course material and can be accessed at: http://ilearn.mq.edu.au.
The Don McNeil Prize for Introductory Statistics is named in honour of the foundation Professor of Statistics at Macquarie University. The prize is awarded twice per year to the student with the best overall performance in a first-year statistics unit.
In Weeks 1–10, the lectures will introduce the following topics. Each topic will be developed in SGTAs and Practicals in the following week.
Week 1 | Data, research questions, graphics |
Week 2 | Numerical data |
Week 3 | Introduction to distributions |
Week 4 | Sampling distributions |
Week 5 | Hypothesis tests for a population mean |
Week 6 | Comparing population means |
Week 7 | Simple linear regression |
Week 8 | Simple linear regression |
Week 9 | Categorical data analysis |
Week 10 | Categorical data analysis |
Employability activities and assessment will occur throughout the semester, including Weeks 11–13.
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 ask.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 AskMQ, 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.
There are no changes from the previous offering.
Unit information based on version 2023.05 of the Handbook