• Class Number 2788
  • Term Code 2930
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
    • Dr Borek Puza
    • William Lim
  • Class Dates
  • Class Start Date 25/02/2019
  • Class End Date 31/05/2019
  • Census Date 31/03/2019
  • Last Date to Enrol 04/03/2019
    • Ha Nguyen
    • Souveek Halder
    • Liwei Cao
    • William Lim
SELT Survey Results

A first course in mathematical statistics with emphasis on applications; probability, random variables, moment generating functions and correlation, sampling distributions, estimation of parameters by the methods of moments and maximum likelihood, hypothesis testing, the central limit theorem, simple linear regression.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Use and calculate probability including combinatorics
  2. Use and describe discrete, continuous and multivariate random variables and their probability distributions
  3. Define sampling distributions and use the central limit theorem
  4. Use the method of moments and maximum likelihood estimation
  5. Perform confidence estimation and hypothesis testing
  6. Use and describe the fundamental concepts of Bayesian statistics and Bayesian estimators

Research-Led Teaching

If time permits, the lecturers may illustrate selected topics by discussing relevant examples from papers they have published. New material in these examples will not be assessable.

Additional Course Costs

Students will need a non-programmable scientific calculator.

Examination Material or equipment

Non-programmable scientific calculator.

Required Resources

Wackerly, D.D., Mendenhall III, W., and Scheaffer, R.L. (2008). Mathematical Statistics with Applications, Seventh edition. Duxbury, Thomson, Brooks/Cole.

Owen, W.J. (2008). Student Solutions Manual for Wackerly, Mendenhall, and Scheaffer’s Mathematical Statistics with Applications, Seventh Edition. Duxbury, Thomson, Brooks/Cole.

The ANU Library has been requested to make these books available as a 2 hour or 2 day loan.

Miller, I., and Miller, M. (2014). John E. Freund's Mathematical Statistics with Applications, Eighth Edition. Pearson.

Spiegel, M.R., Schiller, J.J., and Srinivasan, R.A. (2013). Schaum's Outline of Probability and Statistics, Fourth Edition. McGraw-Hill.

Staff Feedback

Consultation times will be finalised at the start of the semester.

Students will be given feedback in the following forms in this course:

· Verbal communication from lecturers and tutors, individually upon request.

· Marks and summaries for the quiz, assignments and mid-semester exam.

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.

Other Information


Your final mark for the course will be based on the raw marks allocated for each of your assessment items. However, your final mark may not be the same number as produced by that formula, as marks may be scaled. Any scaling applied will preserve the rank order of raw marks (i.e. if your raw mark exceeds that of another student, then your scaled mark will exceed the scaled mark of that student), and may be either up or down.

Referencing Requirements

In assignments and exams, students must appropriately reference any results, words or ideas that they take from another source which is not their own. A guide can be found at: https://academicskills.anu.edu.au/resources/handouts/referencing-basics

Extensions and Penalties

No submission of assessment tasks without an extension after the due date will be permitted. If an assessment task is not submitted by the due date, a mark of 0 will be awarded.

Support for Students

?The University offers a number of support services for students. Information on these is available online from http://students.anu.edu.au/studentlife/

Class Schedule

Week/Session Summary of Activities Assessment
1 Chapter 1: What is Statistics? AND Chapter 2: Probability
2 Chapter 2: Probability
3 Chapter 2: Probability
4 Chapter 3: Discrete Random Variables and Their Probability Distributions Quiz
5 Chapter 4: Continuous Random Variables and Their Probability Distributions
6 Chapter 5: Multivariate Probability Distributions Assignment 1
7 Chapter 6: Functions of Random Variables Mid-Semester Exam (possibly in Week 6; TBA)
8 Chapter 7: Sampling Distributions and the Central Limit Theorem
9 Chapter 8: Estimation
10 Chapter 9: Properties of Point Estimators and Methods of Estimation Assignment 2
11 Chapter 10: Hypothesis Testing
12 Revision

Tutorial Registration

Tutorial signup for this course will be done via the Wattle website. Detailed information about signup times will be provided on Wattle or during your first lecture. When tutorials are available for enrolment, follow these steps:

1.   Log on to Wattle, and go to the course site

2.   Click on the link “Tutorial enrolment”

3.   On the right of the screen, click on the tab “Become Member of…..” for the tutorial class you wish to enter

4.   Confirm your choice


If you need to change your enrolment, you will be able to do so by clicking on the tab “Leave group….” and then re-enrol in another group. You will not be able to enrol in groups that have reached their maximum number. Please note that enrolment in ISIS must be finalised for you to have access to Wattle.

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Quiz 0 % 19/03/2019 26/03/2019 1
Assignment 1 10 % 02/04/2019 30/04/2019 1
Assignment 2 10 % 14/05/2019 28/05/2019 1,2,3
Mid-Semester Exam 20 % 01/04/2019 10/05/2019 1,2
Final Exam 60 % 06/06/2019 04/07/2019 1,2,3,4,5,6

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details


ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the ANU Online website. Students may choose not to submit assessment items through Turnitin. In this instance you will be required to submit, alongside the assessment item itself, hard copies of all references included in the assessment item.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.


Attendance and participation in lectures and tutorials is recommended but not assessable.


As a further academic integrity control, students may be selected for a 15 minute individual oral examination of their written assessment submissions.

Any student identified, either during the current semester or in retrospect, as having used ghost writing services will be investigated under the University’s Academic Misconduct Rule.

Assessment Task 1

Value: 0 %
Due Date: 19/03/2019
Return of Assessment: 26/03/2019
Learning Outcomes: 1


This consists of a set of problems that will be made available on Wattle in Week 4. The problems will relate to material in Chapters 1 and 2 only. Students will be able mark their own quizzes using solutions posted on Wattle in Week 5. This quiz is solely for self-assessment purposes and will not contribute towards students' final grades.

Assessment Task 2

Value: 10 %
Due Date: 02/04/2019
Return of Assessment: 30/04/2019
Learning Outcomes: 1

Assignment 1

This assignment covers Chapters 1 and 2 and is worth 10% of the total assessment. The assignment will be made available on 12 March (Wk 3). The assignment is to be done individually.

Assessment Task 3

Value: 10 %
Due Date: 14/05/2019
Return of Assessment: 28/05/2019
Learning Outcomes: 1,2,3

Assignment 2

This assignment covers Chapters 1 to 6 and is worth 10% of the total assessment. The assignment will be made available on 30 April (Wk 8). The assignment is to be done individually.

Assessment Task 4

Value: 20 %
Due Date: 01/04/2019
Return of Assessment: 10/05/2019
Learning Outcomes: 1,2

Mid-Semester Exam

This exam covers Chapters 1, 2 and 3 and is open book, with permitted materials being a "Non-programmable calculator" and otherwise "No restrictions", apart from items excluded by general ANU examinations policy (such as mobile phones). The exam is worth 20% of the total assessment, or 0%, as per the following. The mid-semester exam is redeemable in favour of the final exam, meaning that you will get the better of the two breakdowns 20 + 60 and 0 + 80. Thus, if you do better in the final exam than in the mid-semester exam (or do not attempt the mid-semester exam), your mid-semester exam will not count and your final exam will count 80%. Although the mid-semester exam is redeemable and optional, students are advised to do it if possible. The Due Date shown in the Assessment Summary is the earliest possible date of the exam, and the Return of Assessment Date is the latest possible date by which students will know their mark.

Assessment Task 5

Value: 60 %
Due Date: 06/06/2019
Return of Assessment: 04/07/2019
Learning Outcomes: 1,2,3,4,5,6

Final Exam

This exam covers Chapters 1 to 10 and is open book, with permitted materials being a "Non-programmable calculator" and otherwise "No restrictions", apart from items excluded by general ANU examinations policy (such as mobile phones). The exam is worth 60% of the total assessment, or 80% if the mid-semester exam is redeemed.

Academic Integrity

Academic integrity is a core part of our culture as a community of scholars. At its heart, academic integrity is about behaving ethically. This means that all members of the community commit to honest and responsible scholarly practice and to upholding these values with respect and fairness. The Australian National University commits to embedding the values of academic integrity in our teaching and learning. We ensure that all members of our community understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with. The University has policies and procedures in place to promote academic integrity and manage academic misconduct. Visit the following Academic honesty & plagiarism website for more information about academic integrity and what the ANU considers academic misconduct. The ANU offers a number of services to assist students with their assignments, examinations, and other learning activities. The Academic Skills and Learning Centre offers a number of workshops and seminars that you may find useful for your studies.

Online Submission

You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records. Unless an exemption has been approved by the Associate Dean (Education) as submission must be through Turnitin.

Hardcopy Submission

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.

Late Submission

No submission of assessment tasks without an extension after the due date will be permitted. If an assessment task is not submitted by the due date, a mark of 0 will be awarded.

Referencing Requirements

Accepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.

Returning Assignments

Marked assignments can be collected from the filing cabinets in the foyer outside the RSFAS Office on the 4th floor of the CBE Building (26C).

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. The Course Convener may grant extensions for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Resubmission of Assignments

It will not be possible for assignments to be resubmitted.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information.
In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service – including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy.
If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes.

Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).

Dr Borek Puza

Research Interests

Bayesian statistics, Monte Carlo methods, confidence estimation, statistical paradoxes

Dr Borek Puza

Tuesday 09:00 09:30
Wednesday 13:00 13:30
Friday 14:00 14:30
William Lim

Research Interests

William Lim

Tuesday 15:00 16:00
Tuesday 15:00 16:00
Ha Nguyen
6125 0487

Research Interests

Ha Nguyen

Wednesday 09:30 11:00
Thursday 11:00 12:00
Souveek Halder
6125 0487

Research Interests

Souveek Halder

Thursday 15:30 16:00
Liwei Cao
6125 0487

Research Interests

Liwei Cao

Friday 15:00 16:00
William Lim
6125 0487

Research Interests

William Lim

Tuesday 15:00 16:00
Tuesday 15:00 16:00

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions