Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor
Georgy Sofronov
Contact via georgy.sofronov@mq.edu.au
12 Wally's Walk (E7A), Room 535
Lecturer
Hassan Doosti
Contact via hassan.doosti@mq.edu.au
12 Wally's Walk (E7A), Room 534
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Credit points |
Credit points
3
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Prerequisites |
Prerequisites
(STAT170(P) or STAT171 or STAT150) and ((HSC Mathematics Band 2 or Extension 1 or Extension 2) or 3cp from MATH111-MATH339)
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
This unit is co-taught with STAT683.
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Unit description |
Unit description
This unit consolidates and expands upon the material on probability introduced in statistics units at 100 level. The emphasis is on the understanding of probability concepts and their application. Examples are taken from areas as diverse as biology, medicine, finance, sport, and the social and physical sciences. Topics include: the foundations of probability; probability models and their properties; some commonly used statistical distributions; relationships and association between variables; distribution of functions of random variables and sample statistics; approximations including the central limit theorem; and an introduction to the behaviour of random processes. Simulation is used to demonstrate many of these concepts.
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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:
You are expected to present yourself for examination at the time and place designated in the University examination timetable, which will be available at https://timetables.mq.edu.au.
Only documented illness or unavoidable disruption may be used as reasons for not sitting an examination at the designated time. In these circumstances you may wish to consider applying for special consideration via ask.mq.edu.au.
Information about the Special Consideration Policy is available at:
Name | Weighting | Hurdle | Due |
---|---|---|---|
Tutorial Participation | 10% | No | Weeks 2 to 13 |
Test 1 | 10% | No | Week 4 lecture |
Assignment | 10% | No | Week 7 |
Test 2 | 10% | No | Week 10 lecture |
Final Examination | 60% | No | University Examination Period |
Due: Weeks 2 to 13
Weighting: 10%
To obtain the full mark (10% of the unit assessment), students must participate in at least 10 out of the 12 tutorials. Participation and engagement in the class activities will be assessed by the tutor via rosters and observation of students' work during classes. The tutorial participation marks are equally weighted.
Due: Week 4 lecture
Weighting: 10%
You are allowed to bring in one A4 page of handwritten notes, written on both sides. All necessary statistical tables and formulae will be provided.
An electronic calculator is essential. Non-programmable calculators with no text-retrieval capacity are allowed in the tests or exam.
Due: Week 7
Weighting: 10%
Students will be given one week to complete the assignment.
In the case of the late submission of the assignment, if no special consideration has been granted, 10% of the earned mark will be deducted for each day that the assignment is late, up to a maximum of 50%. After 5 days, including weekends and public holidays, a mark of 0% will be awarded for the assignment.
NOTE: It is not the intention of this late penalty policy to cause a student to fail the unit when they have submitted their assignment no more than 5 days after the due date and they would have otherwise passed. In this case, if deductions for late assignments result in the final unit mark for a student being less than 50, when otherwise it would have been 50 or greater, the student's final mark will be exactly 50.
Due: Week 10 lecture
Weighting: 10%
You are allowed to bring in one A4 page of handwritten notes, written on both sides. All necessary statistical tables and formulae will be provided. An electronic calculator is essential. Non-programmable calculators with no text-retrieval capacity are allowed in the tests or exam.
Due: University Examination Period
Weighting: 60%
The examination will be of 3 hours duration with 10 minutes reading time.
For the Final examination you are allowed to bring in one A4 page of handwritten notes, written on both sides. All necessary statistical tables and formulae will be provided. An electronic calculator is essential and will be required. Non-programmable calculators with no text-retrieval capacity are allowed in the tests or exam.
If you receive special consideration for the final exam, a supplementary exam will be scheduled in the interval between the regular exam period and the start of the next session. By making a special consideration application for the final exam you are declaring yourself available for a resit during the supplementary examination period and will not be eligible for a second special consideration approval based on pre-existing commitments. Please ensure you are familiar with the Special Consideration Policy prior to submitting an application. You can check the supplementary exam information page on FSE101 in iLearn (bit.ly/FSESupp) for dates, and approved applicants will receive an individual notification one week prior to the exam with the exact date and time of their supplementary examination.
STAT273 is delivered by lectures and tutorials.
The timetable for classes can be found on the University web site at:
There is no set textbook for this subject. Lecture notes will be available from iLearn at least the night before the lecture. Students should read the lecture notes before the lecture. All teaching materials will be available via iLearn.
References that may be useful
Technology Used and Required
iLearn
There will be an iLearn site for this unit where weekly information, online discussions, lecture notes, iLectures, practice exercises and solutions will be posted.
Students are required to login to iLearn using their Student ID Number and myMQ Portal Password (note, information about how to get hold of your password is provided by the weblink https://ilearn.mq.edu.au). You can only access the material if you are enrolled in the unit.
Software
We will be using Microsoft Office for Windows (especially Excel), R and Wolfram Alpha, freely available online.
Audio/Video recordings of lectures will be available on iLearn soon after the lecture is delivered.
Course notes are available on iLearn before the lecture. Students should familiarise themselves with the notes before the lecture and bring a copy (in paper or electronic form) to class.
Lectures
Lectures begin in Week 1. STAT273 students should attend 3 hours per week. The lecture notes will be available on iLearn before the lecture.
Tutorials
Tutorials begin in Week 2 and are based on work from the previous week’s lecture. The aim of tutorials is to apply techniques learnt in lectures to solve problems using a statistical package. The material is available on iLearn.
Additional Exercises
Additional exercises may also be made available on iLearn. It is expected that students will attempt all questions. The exercises will not be discussed during the tutorial, although some may be discussed during the lectures. A solution will be made available on the website.
WEEK |
LECTURE TOPIC |
W1 |
Experiments, sample spaces, Probability Rules, Permutations and Combinations |
W2 |
Conditional Probability. Independence, Bayes’ Theorem |
W3 |
Random Variables. Probability Functions, Discrete Probability Distributions, Cumulative Distribution functions, Expected value and Variance. Moments. |
W4 |
Important Discrete Distributions: Bernoulli, Binomial, Geometric and Poisson |
W5 |
Moment generating functions. More Discrete Distributions: Negative Binomial and Hypergeometric. |
W6 |
Introduction to Continuous random variables. Cumulative distribution function. |
W7 |
Continuous Distributions: Uniform, Exponential. |
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Mid-semester break |
W8 |
Normal distribution. |
W9 |
Continuous Distributions: Gamma and Beta Distributions. Chebyshev’s Theorem. |
W10 |
Sampling Distributions. |
W11 |
Joint Distributions: Discrete and Continuous cases. |
W12 |
Introduction to Markov Chains. States, Transition probabilities, State vectors, Equilibrium, Absorbing States |
W13 |
Revision |
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