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, 12-2pm
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Credit points |
Credit points
3
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Prerequisites |
Prerequisites
(STAT170(P) or STAT171(P)) and (HSC Mathematics 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:
Name | Weighting | Due |
---|---|---|
Weekly Tutorial assessment | 10% | Weekly |
Test 1 | 10% | Week 3 lecture |
Assignment 1 | 10% | Week 7 |
Test 2 | 10% | Week 11 |
PC-Lab test | 10% | Week 13 tutorial |
Final Examination | 50% | University Examination Period |
Due: Weekly
Weighting: 10%
Every week students are required to submit the tutorial work via iLearn. Students will be given a week to complete the task. The cut-off date will be announced on iLearn. Tutorial works are equally weighted and together worth 10% of the unit assessment.
Due: Week 3 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. Text-returnable calculators are not permitted in the tests or exam.
Due: Week 7
Weighting: 10%
Students will be given two week to complete it. On-time submission of the assignment is compulsory. Late submission of assignments will not be accepted without a good reason, and extension requests should be made directly to the Lecturer/Unit Convenor.
Due: Week 11
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. Text-returnable calculators are not permitted in the tests or exam.
Due: Week 13 tutorial
Weighting: 10%
You are allowed to use any resource to complete it (books, notes, computer, internet, etc.).
Due: University Examination Period
Weighting: 50%
This 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. Text-returnable calculators are not permitted 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 |
Public holiday on Monday: no lecture this week. |
W10 |
More Continuous Distributions: Gamma and Beta Distributions Chebyshev’s Theorem |
W11 |
Chi-squared Distribution, Distribution of sample variance, F-Distribution, t-Distribution, Distribution of sample mean (σ unknown). |
W12 |
Joint Distributions: Discrete and Continuous cases |
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
Assessment Policy http://mq.edu.au/policy/docs/assessment/policy.html
Grading Policy http://mq.edu.au/policy/docs/grading/policy.html
Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html
Grievance Management Policy http://mq.edu.au/policy/docs/grievance_management/policy.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.
Of interest to students are the policies and associated procedures on:
You should in particular familiarise yourself with University policy on Special Consideration and Academic Honesty.
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 consider applying for Special Consideration. Information about unavoidable disruption and the special consideration process is available at:http://www.mq.edu.au/policy/docs/special_consideration/policy.html
Information on how to submit a student requests to the Faculty of Science can be found at:
http://web.science.mq.edu.au/undergraduate_programs/current/admin_central/
As a result of a granted Special Consideration, students can be required to undertake additional assessable work, or receive an extension of the due date of tutorial assessment. If a Supplementary Examination is granted as a result of the Special Consideration process the examination will be scheduled after the conclusion of the official examination period.
You are advised that it is Macquarie University policy not to set early examinations for individuals or groups of students. All students are expected to ensure that they are available until the end of the teaching semester, that is, the final day of the official examination period.
Academic honesty is an integral part of the core values and principles contained in the Macquarie University Ethics Statement . Its fundamental principle is that all staff and students act with integrity in the creation, development, application and use of ideas and information. You must read the University's policy on Academic Honesty. This can be found on the MQ web site at: http://www.mq.edu.au/policy/docs/academic_honesty/policy.html. Penalties may include a deduction of marks, failure in the unit, and/or referral to the University Discipline Committee.
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://informatics.mq.edu.au/help/.
When using the University's IT, you must adhere to the Acceptable Use Policy. The policy applies to all who connect to the MQ network including students.
Our graduates will also be capable of creative thinking and of creating knowledge. They will be imaginative and open to experience and capable of innovation at work and in the community. We want them to be engaged in applying their critical, creative thinking.
This graduate capability is supported by:
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 have enquiring minds and a literate curiosity which will lead them to pursue knowledge for its own sake. They will continue to pursue learning in their careers and as they participate in the world. They will be capable of reflecting on their experiences and relationships with others and the environment, learning from them, and growing - personally, professionally and socially.
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:
We want to develop in our students the ability to communicate and convey their views in forms effective with different audiences. We want our graduates to take with them the capability to read, listen, question, gather and evaluate information resources in a variety of formats, assess, write clearly, speak effectively, and to use visual communication and communication technologies as appropriate.
This graduate capability is supported by:
In addition to Microsoft Excel, the statistical software R will also be used.