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Unit convenor and teaching staff
Admission to MActPrac and (STAT810 or STAT8310 or STAT806)
This unit focuses on statistical approaches for research in Business and Economics and related disciplines. Topics include a range of probability and statistical models, their theoretical basis, the assessment and evaluation of the models, and methods of statistical inference for data analysis. The unit will also consider applications of the above models and techniques to the actuarial practice discipline.
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:
Assessment criteria for all assessment tasks will be provided on the unit iLearn site.
It is the responsibility of students to view their marks for each within-session-assessment on iLearn within 20 days of posting. If there are any discrepancies, students must contact the unit convenor immediately. Failure to do so will mean that queries received after the release of final results regarding assessment tasks (not including the final exam mark) will not be addressed.
Late submissions and extensions
Tasks 10% or less – No extensions will be granted. Students who have not submitted the task prior to the deadline will be awarded a mark of 0 for the task, except for cases in which an application for special consideration is made and approved.
Tasks above 10% - 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 special consideration is made and approved. No submission will be accepted after solutions have been posted.
Assignment 1 consists of objective response questions requiring explanations in appropriate words and/or mathematical expressions.
Assignment 2 consists of problem-solving questions requiring detailed solutions
Assignment 3 consists of problem-solving questions requiring detailed solutions including numerical solutions using statistical software R.
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
Unit Web Page
Technology Used and required
Required and Recommended Texts and/or Materials
Week 1: Nonparametric statistical methods; background knowledge
Week 2: One-sample location problem
Week 3: Estimation of location parameters; Two-sample location problem
Week 4: Two-sample dispersion and other problems
Week 5: One-way layout; Assignment 1
Week 6: One-way layout
Week 7: Two-way layout
Week 8: Two-way layout
Week 9: Independence problem
Week 10: Independence problem; Assignment 2
Week 11: Regression problem
Week 12: Bootstrap estimation
Week 13: Revision; Assignment 3
Note: This is only a tentative schedule. The actual schedule will be adjusted from time to time in accordance with the progress of lectures.
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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.
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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 firstname.lastname@example.org
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Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.
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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 2021.03 of the Handbook