• Class Number 2758
  • Term Code 2930
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
    • Gen Nowak
    • Gen Nowak
  • 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
SELT Survey Results

This course aims to facilitate an understanding of basic statistical techniques used for the analysis of financial and investment data.

Learning Outcomes

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

  1. Explain and use basic financial statistical techniques and concepts;
  2. Use a variety of statistical approaches to analyse financial and investment data;
  3. Solve problems using the principles of probability;
  4. Recognise and use different statistical distributions;
  5. Perform calculations and interpret results of a variety of estimation techniques;
  6. Conduct and explain the results of a hypothesis test;
  7. Carry out and interpret an analysis of variance test and compare the difference between two or more sets of data;
  8. Apply and interpret regression models.

Research-Led Teaching

Statistics provides a way of analysing and understanding data and the variability present in data. Hence statistics is a necessary backbone for almost every area of research. This course will take examples from business, finance and science to introduce fundamental statistical concepts to prepare students for future courses and research projects.


There are no formally prescribed textbooks for this course, but the following are some useful recommended textbooks:

  • Statistics for Management and Economics, 11th edition, by Gerald Keller.

This textbook closely follows most of the topics covered in the course. Copies have been requested to be made available on 2 hour loan in the reserve loan section of Chifley library.

  • Basic Mathematics for Economists, 3rd edition, by Mike Rosser.

For students wanting to brush up on their mathematical skills, chapters 1 to 6 of this textbook cover some assumed background mathematical knowledge. The ebook is available at the ANU library.

  • Mathematical Statistics with Applications, 7th edition, by Dennis D. Wackerly, William Mendenhall III and Richard L. Scheaffer.

This textbook is a useful reference for any students who are interested in learning about some of the course topics at a more advanced level. Copies have been requested to be made available on 2 hour loan in the reserve loan section of Hancock library.


All course materials, including lecture materials, lecture recordings, tutorial materials, etc., will be made available on the Wattle site. Students are expected to check the Wattle site for announcements about this course, e.g., changes to timetables or notifications of cancellations.

Staff Feedback

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

  • To the whole class during lectures.
  • Within tutorials groups.
  • Individually during consultation hours.

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

Assessment Requirements

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.


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.

Email Communication

To safeguard student privacy, it is university policy that all email communication with students must be through their official ANU email account. Please make sure to use your ANU email account as I will not respond to emails sent from non-ANU email accounts.

Class Schedule

Week/Session Summary of Activities Assessment
1 Descriptive statistics. Lecture.
2 Probability. Lecture and tutorials.
3 Discrete random variables. Lecture and tutorials.
4 Continuous random variables. Lecture and tutorials.
5 Sampling distributions. Lecture and tutorials. Wattle quiz (week 5 or 6)
6 Estimation. Lecture and tutorials Wattle quiz (week 5 or 6) Mid-semester exam (week 6 or 7)
7 Hypothesis testing. Lecture and tutorials. Mid-semester exam (week 6 or 7)
8 Comparing two populations. Lecture and tutorials.
9 ANOVA and Chi-squared tests. Lecture and tutorials.
10 Simple linear regression. Lecture and tutorials.
11 Multiple linear regression. Lecture and tutorials.
12 Review. Lecture and tutorials.

Tutorial Registration

Please see Wattle for tutors' information.

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
Wattle Quiz 5 % 25/03/2019 05/04/2019 1-4
Mid Semester Exam 30 % 01/04/2019 20/05/2019 1-5
Final Exam 65 % 06/06/2019 04/07/2019 1-8

* 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.


Both the mid-semester and final examinations are centrally administered through Examinations, Graduations & Prizes and will be timetabled prior to the examination period. Please check ANU Timetabling for further information. Further information about the examinations will be provided in class and on Wattle closer to the time of the examination.

Assessment Task 1

Value: 5 %
Due Date: 25/03/2019
Return of Assessment: 05/04/2019
Learning Outcomes: 1-4

Wattle Quiz

An optional online Wattle quiz will be held during week 5 or 6 (the due date listed in the Assessment Summary is an indication of the earliest possible date when the quiz may be held). It may include material covered in weeks/topics 1 to 4, inclusive. The quiz will be redeemable through the mid-semester exam. That is, if you perform better on the mid-semester exam than on the quiz, the quiz will be worth 0% and the mid-semester exam will be worth 35%. Otherwise, the quiz will be worth 5% and the mid-semester exam will be worth 30%.

Assessment Task 2

Value: 30 %
Due Date: 01/04/2019
Return of Assessment: 20/05/2019
Learning Outcomes: 1-5

Mid Semester Exam

The mid-semester exam will be held in week 6 or 7 (the due date listed in the Assessment Summary is an indication of the earliest possible date when the exam may be held). It may include material covered in weeks/topics 1 to 6, inclusive. The mid-semester exam is not redeemable. Depending on how you perform on the quiz, the mid-semester exam will be worth either 30% or 35%. See the quiz details above.

Assessment Task 3

Value: 65 %
Due Date: 06/06/2019
Return of Assessment: 04/07/2019
Learning Outcomes: 1-8

Final Exam

The final exam will be held during the university examination period at the end of the semester (the due date listed in the Assessment Summary is an indication of the earliest possible date when the exam may be held). It may include material from the entire semester. The final exam will be worth 65%.

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.

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.

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).

Gen Nowak
+61 2 6125 7294

Research Interests

Statistical genetics, spatio-temporal data analysis, penalised regression.

Gen Nowak

Tuesday 10:30 11:30
Tuesday 10:30 11:30
Gen Nowak
+61 2 6125 7294

Research Interests

Gen Nowak

Tuesday 10:30 11:30
Tuesday 10:30 11:30

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