Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor
Georgy Sofronov
Contact via georgy.sofronov@mq.edu.au
AHH, Level 2
Friday, 12-2pm
Lecturer
Nino Kordzakhia
Contact via nino.kordzakhia@mq.edu.au
AHH, Level 2
Tuesday, 12-1pm, 2-3pm
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Credit points |
Credit points
3
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Prerequisites |
Prerequisites
(STAT170(P) or STAT171(P) or STAT150(P)) and ((HSC Mathematics Band 2 or Extension 1 or Extension 2) or 3cp from MATH123-MATH339) and (STAT175(P) or GPA of 2.0 (out of 4.0))
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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:
On-time submission of the assessment tasks is compulsory. Late submission will not be accepted unless satisfactory documentation outlining illness or misadventure is submitted via ask.mq.edu.au. Information about the Disruption to Studies policy and procedure is available at:
http://students.mq.edu.au/student_admin/exams/disruption_to_studies/
http://www.mq.edu.au/policy/docs/disruption_studies/policy.html
http://www.mq.edu.au/policy/docs/disruption_studies/procedure.html
Name | Weighting | Due |
---|---|---|
Tutorial assessment | 10% | Weeks 3 and 9 |
Test 1 | 10% | Week 4 lecture |
PC-Lab test 1 | 10% | Week 6 |
Test 2 | 10% | Week 10 |
PC-Lab test 2 | 10% | Week 12 |
Final Examination | 50% | University Examination Period |
Due: Weeks 3 and 9
Weighting: 10%
In weeks 3 and 9, students will be required to submit the tutorial work via iLearn. Students will be given a week to complete the tasks. Students should solve the problems and submit their solutions via iLearn as Microsoft Word (.doc or .docx) or Adobe Portable Document Format (.pdf) files. Hand-written solutions are not encouraged, but may be scanned to create pdf documents. The tutorial works are equally weighted and together worth 10% of the unit assessment.
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 6
Weighting: 10%
Students will be given one week to complete the PC-Lab Test.
Due: Week 10
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 12
Weighting: 10%
Students will be given one week to complete the PC-Lab Test.
Due: University Examination Period
Weighting: 50%
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.
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 examinations (http://www.exams.mq.edu.au)
STAT273 is delivered by lectures and tutorials.
The timetable for classes can be found on the University web site at:
http://www.timetables.mq.edu.au
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
• Wackerly, D., Mendenhall W. Scheaffer. Mathematical Statistics with Applications (4th,5th or 6th Editions) QA276 .M426 2002
• Kinney, J.J. (1997) Probability - An Introduction with Statistical Applications, John Wiley and Sons QA273.K493/1997
• Scheaffer R.L. (1994) Introduction to Probability and Its Applications, (2nd Edition) Duxbury Press, QA273.S357
• Sincich,T., Levine, D.M., Stephan, D. (1999) Practical statistics by example using Microsoft Excel QA276.12 .S554
Copies of these books are held in the Reserve section of the library.
iLearn
There will be an iLearn site for this unit where weekly information, online discussions, lecture notes, iLectures, practice exercises, quizzes 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 http://ilearn.mq.edu.au).
The website for the iLearn login is https://ilearn.mq.edu.au/login/MQ/. 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 must be brought to the lectures each week. These will be available on iLearn the night 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.
Students are free to attend one 1-hour tutorial a week. Students must submit their work on iLearn before the due date indicated in the assessment page on iLearn.
Additional Exercises
Additional exercises will also be made available on iLearn. It is expected that students will attempt all the 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 |
W4 |
Moments. 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 |
Important Continuous Distributions: Uniform, Exponential. |
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Mid-semester break |
W8 |
Normal distribution. |
W9 |
Normal distribution (cont). |
W10 |
More Continuous Distributions: Gamma and Beta Distributions. Chebyshev’s Theorem |
W11 |
Joint Distributions: Discrete and Continuous cases. |
W12 |
Sampling Distributions. |
W13 |
Introduction to Markov Chains. States, Transition probabilities, State vectors, Equilibrium, Absorbing States |
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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
New Assessment Policy in effect from Session 2 2016 http://mq.edu.au/policy/docs/assessment/policy_2016.html. For more information visit http://students.mq.edu.au/events/2016/07/19/new_assessment_policy_in_place_from_session_2/
Assessment Policy prior to Session 2 2016 http://mq.edu.au/policy/docs/assessment/policy.html
Grading Policy prior to Session 2 2016 http://mq.edu.au/policy/docs/grading/policy.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 http://www.mq.edu.au/policy/docs/disruption_studies/policy.html The Disruption to Studies Policy is effective from March 3 2014 and replaces the Special Consideration Policy.
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 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.
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This graduate capability is supported by:
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This graduate capability is supported by:
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This graduate capability is supported by:
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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:
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This graduate capability is supported by:
In addition to Microsoft Excel, the statistical software R will also be used.