Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convener
Rogelio Canizales Perez
Contact via accg615@mq.edu.au
TBD
Moderator
Amy Tung
Contact via accg615@mq.edu.au
Room 232, building: E4A
TBD
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Credit points |
Credit points
4
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Prerequisites |
Prerequisites
Admission to MAcc(CPA) or MAcc(Prof) or MAcc(Prof)MCom or MIntAccg
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit provides a sophisticated level of understanding and application of the quantitative and statistical techniques which are frequently used in accounting and financial studies. It develops logical reasoning, objective analysis, and the ability to make inferences based on empirical evidence. By the end of the unit students will be able to understand and apply statistical techniques such as probability, sampling, measurement, correlation, regression and hypothesis testing.
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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:
Turnitin
All text based assessments must be submitted through Turnitin as per instructions provided in the unit guide. It is the student’s responsibility to ensure that work is submitted correctly prior to the due date. No hard copies of assessments will be accepted and only Turnitin records will be taken as records of submission.
Multiple submissions may be possible in some units via Turnitin prior to the final due date and time of an assessment task and originality reports may be made available to students to view and check their work. All identified matching text will be reconsidered carefully. Students should note that the system will not immediately produce the similarity score on a second or subsequent submission - it approximately takes 24 hours for the report to be generated. This may be after the due date so students should plan any resubmissions carefully. Please refer to these instructions on how to submit your assignment through Turnitin and access similarity reports and feedback provided by teaching staff. Should you have questions about Turnitin or experience issues submitting through the system, you must inform your unit coordinator immediately. If the issue is technical in nature may also lodge OneHelp Ticket, refer to the IT help page.
It is the responsibility of the student to retain a copy of any work submitted. Students must produce these documents upon request. Copies should be retained until the end of the grade appeal period each term. In the event that a student is asked to produce another copy of work submitted and is unable to do so, they may be awarded zero (0) for that particular assessment task.
Name | Weighting | Hurdle | Due |
---|---|---|---|
Assignment | 15% | No | Week 10 |
Online Quizzes | 10% | No | Weekly |
Class Test | 20% | No | Week 12 |
Final Exam | 55% | No | University Examination Period |
Due: Week 10
Weighting: 15%
The assignment should be completed in a group of five students. It is expected that each student will work on the assignment independently in the first instance and discuss their solution with their group members before writing up a joint assignment for submission. 50% of the marks for the assignment (i.e. out of 7.5 marks) will be assessed based on individual contribution. Students will be required to complete a Self and Peer Assessment form so that the contribution of individual members in a group can be identified and assessed. Students will be also required to complete a Group Agreement/Formation Form in order to encourage commitment on the part of all group members.
The assignment must be submitted online and uploaded to iLearn in pdf format.
No extensions will be granted. There will be a deduction of 10% of the total available marks made from the total awarded mark for each 24 hour period or part thereof that the submission is late (for example, 25 hours late in submission – 20% penalty). This penalty does not apply for cases in which an application for disruption of studies is made and approved. No submission will be accepted after solutions have been posted.
Due: Weekly
Weighting: 10%
There will be 12 online quizzes.
Six of the online quizzes will be Practical Quizzes. Practical Quiz 1 will be due in Week 1 and is a demonstration quiz which will not count towards the final assessment. Practical Quizzes 2 to 6 will be due in weeks 3, 5, 7, 9 and 11. These quizzes will be worth 0.9% each. These online practical quizzes using MINITAB are to be completed every two weeks and are designed to test students' use of the statistical package, MINITAB.
The other six of the online quizzes will be Diagnostic Quizzes. These will be short answer quizzes. Diagnostic Quiz 1 will be due in Week 2 and is also a demonstration quiz which will not count towards the final assessment. Diagnostic Quizzes 2 to 6 will be due in weeks 4, 6, 8, 10 and 12. These quizzes will be worth 0.9% each. These Diagnostic Quizzes are provided to students to give feedback on their progress.
Correct answers will be provided at the closure of each quiz.
No extensions will be granted for online quizzes. Students who have not submitted an an online quiz prior to the deadline will be awarded a mark of zero (0) for the task, except for cases in which an application for special consideration is made and approved.
Due: Week 12
Weighting: 20%
This is an online test. The test will be of 50 minutes duration and will be held in the class in Week 12. Students will be assessed and graded on topics from Weeks 1 to 11.
Marks will be recorded on iLearn.
Students who do not sit for the test will be awarded a mark of 0 for the task, except for cases in which an application for disruption of studies is made and approved.
Due: University Examination Period
Weighting: 55%
A final examination is included as an assessment task for this unit to provide assurance that:
i. the product belongs to the student; and,
ii. the student has attained the knowledge and skills tested in the exam.
A 3-hour final examination for this unit will be held during the University Examination period. Students are permitted to take one A4 page of notes, handwritten on both sides, into the exam.
You are expected to present yourself for examination at the time and place designated in the University Examination Timetable. The 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 exams.
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 notify the University of Disruption to Studies. A link to the University’s Disruption to Studies Policy and Procedure is available in the Policies and Procedures section in this Unit Guide.
If a Supplementary Examination is granted as a result of the Disruption to Studies process the examination will be scheduled after the conclusion of the official examination period.
The Macquarie university examination policy details the principles and conduct of examinations at the University. Links to all relevant policies may be found in the Policies and Procedures section of the Unit Guide.
Where possible, staff will answer questions by email. Students experiencing significant difficulties with any topic in the unit should seek assistance immediately. Staff will advise their consultation hours on iLearn at the beginning of semester.
There are three hours face-to-face teaching per week consisting of a mixture of lecture and practical classes. The timetable for classes can be found at: http://www.timetables.mq.edu.au/
Selvanathan, E.A., Selvanathan, S. & Keller, G. (2014) Business Statistics: Australia/New Zealand (6th Edition). Cengage Learning Australia. The textbook is also available as an ebook at: http://www.cengagebrain.com.au
Recommended Texts:
Statistics for Management and Economics by Keller, G.
The Practice of Business Statistics by Moore, McCabe, Duckworth & Alwan
Australasian Business Statistics by Black, et al
All online assessment tasks will be made available through iLearn. Access to a personal computer is required to complete tasks on iLearn. The statistical package MINITAB 17 will be used and students will learn to analyse data using MINITAB. The package can be downloaded onto students’ home computers from the Student Portal.
The web page for this unit can be found at: http://www.handbook.mq.edu.au/2017/Units/GradUnit/ACCG615
Unit materials, assignments, solutions, announcements and other relevant information can be found on Moodle and students should visit this site regularly at: http://iLearn.mq.edu.au
New material will be introduced in each lecture. During practical classes students will work on problems based on the material presented in lectures and write up relevant summaries of results. Students are expected to have read through the material to be covered in class each week. Course material will be made available online using iLearn.
A week-by-week list of the topics is provided in this Unit Guide
Expectations and Workload
Students are expected to spend 150 hours working on this unit. As a guide a student should spend these approximate amounts of time on each of the following activities:
No | Activity | Hours |
1 |
Weekly Lectures/Practicals |
40 |
2 |
Assessment Task 1 (Assignment) |
20 |
3 |
Assessment Task 2 (Online Quizzes) |
18 |
4 |
Assessment Task 3 (Class test) |
10 |
5 |
Assessment Task 4 (Final exam) |
22 |
6 |
Readings/self-study |
22 |
Total | 150 |
Lecture Recordings
The last timetabled lecture will be recorded each week and will be available on iLearn at the end of each week.
IT Conditions of Use
Access to all student computing facilities within the Faculty of Business and Economics is restricted to authorised coursework for approved units. Student ID cards must be displayed in the locations provided at all times.
Students are expected to act responsibly when using University IT facilities. The following regulations apply to the use of computing facilities and online services:
Accessing inappropriate web sites or downloading inappropriate material is not permitted. Material that is not related to coursework for approved units is deemed inappropriate.
Downloading copyright material without permission from the copyright owner is illegal, and strictly prohibited. Students detected undertaking such activities will face disciplinary action, which may result in criminal proceedings.
Non-compliance with these conditions may result in disciplinary action without further notice.
Students must use their Macquarie University email addresses to communicate with staff as it is University policy that the University issued email account is used for official University communication.
Week Commencing |
Week |
Topics Covered |
Textbook Chapter |
Assessments Due |
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2 August |
1 |
Introduction to Statistics Graphical Techniques |
1, 2 and 3 4 (omit pp89-91, 97-99, 4.2) (4.4 is optional) |
PQ1 |
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9 August |
2 |
Numerical Summaries |
5 (omit pp152-153, 5.4, 5.5) |
DQ1 |
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16 August |
3 |
Probability Probability Distributions |
6 (omit 6.5) 7 (omit 7.4, 7.5, 7.7) 8 (omit 8.4) |
PQ2 |
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23 August |
4 |
Sampling Distributions
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9 10 |
DQ2 |
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30 August |
5 |
Estimation Confidence Intervals |
11 (omit 11.5) 12 (omit 12.3, 12.4) |
PQ3 |
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6 September |
6 |
Testing Hypotheses: Single Samples |
13 (omit 13.5, 13.6) 21 (21.2) |
DQ3 |
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13 September
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7 |
Testing Hypotheses: Two Samples |
14 (omit 14.3) |
PQ4
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SEMESTER BREAK (17 April to 30 April) | |||||||
4 October |
8 |
Analysis of Variance
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16 (16.1, 16.2) 21 (21.3: KW test only) |
DQ4
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11 October
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9 |
Categorical Data Analysis
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13 (13.6) 17 (17.3 is optional) |
PQ5 |
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18 October |
10 |
Simple Linear Regression
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18 (omit 18.3, pp728-730, 18.5, 18.6) |
DQ5 Assignment |
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25 October |
11 |
Assessing Linear Models Multiple Regression
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5 (5.5) 18 (18.4, 18.5, 18.6) 19 (omit pp778-779, 19.4) Lecture notes for model reduction |
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1 November |
12 |
Multiple Regression continued
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20 (omit 20.4, 20.6) |
PQ6, DQ6 CLASS TEST IN THE CLASS
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8 November |
13 |
Revision
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22 |
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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_2016.html
Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html
Complaint Management Procedure for Students and Members of the Public http://www.mq.edu.au/policy/docs/complaint_management/procedure.html
Disruption to Studies Policy (in effect until Dec 4th, 2017): http://www.mq.edu.au/policy/docs/disruption_studies/policy.html
Special Consideration Policy (in effect from Dec 4th, 2017): https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policies/special-consideration
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/
Results shown in iLearn, 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.
Macquarie University uses the following grades in coursework units of study:
HD - High Distinction
D - Distinction
CR - Credit
P - Pass
F - Fail
Grade descriptors and other information concerning grading are contained in the Macquarie University Grading Policy which is available at:
http://www.mq.edu.au/policy/docs/grading/policy.html
If, at the conclusion of the unit, you have performed below expectations, and are considering lodging an appeal of grade and/or viewing your final exam script please refer to the following website which provides information about these processes and the cut off dates in the first instance. Please read the instructions provided concerning what constitutes a valid grounds for appeal before appealing your grade.
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://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 want our graduates to have emotional intelligence and sound interpersonal skills and to demonstrate discernment and common sense in their professional and personal judgement. They will exercise initiative as needed. They will be capable of risk assessment, and be able to handle ambiguity and complexity, enabling them to be adaptable in diverse and changing environments.
This graduate capability is supported by:
Our graduates will take with them the intellectual development, depth and breadth of knowledge, scholarly understanding, and specific subject content in their chosen fields to make them competent and confident in their subject or profession. They will be able to demonstrate, where relevant, professional technical competence and meet professional standards. They will be able to articulate the structure of knowledge of their discipline, be able to adapt discipline-specific knowledge to novel situations, and be able to contribute from their discipline to inter-disciplinary solutions to problems.
This graduate capability is supported by:
We want our graduates to be capable of reasoning, questioning and analysing, and to integrate and synthesise learning and knowledge from a range of sources and environments; to be able to critique constraints, assumptions and limitations; to be able to think independently and systemically in relation to scholarly activity, in the workplace, and in the world. We want them to have a level of scientific and information technology literacy.
This graduate capability is supported by:
Our graduates should be capable of researching; of analysing, and interpreting and assessing data and information in various forms; of drawing connections across fields of knowledge; and they should be able to relate their knowledge to complex situations at work or in the world, in order to diagnose and solve problems. We want them to have the confidence to take the initiative in doing so, within an awareness of their own limitations.
This graduate capability is supported by:
This unit addresses global and sustainability issues as direct areas of study and as necessary implications arising from the materials, assessment and academic discussion and debate in classes. We promote sustainability by developing ability in students to research and locate information within the statistics discipline We aim to provide students with an opportunity to obtain skills which will benefit them throughout their career.
The unit materials have a reference list at the end of each lecture containing all references cited by the author. These provide some guidance to references that could be used to research particular issues.