- Class Number 6514
- Term Code 3270
- Class Info
- Unit Value 6 units
- Topic Intensive Course
- Mode of Delivery In Person
- Dr Priya Dev
- Dr Priya Dev
- Class Dates
- Class Start Date 03/10/2022
- Class End Date 02/12/2022
- Census Date 21/10/2022
- Last Date to Enrol 21/10/2022
This course aims to facilitate an understanding of basic statistical techniques used for the analysis of financial and investment data.
Upon successful completion, students will have the knowledge and skills to:
- Explain and use basic financial statistical techniques and concepts to analyse financial and investment data;
- Solve problems using the principles of probability;
- Recognise and use different statistical distributions;
- Perform calculations and interpret results of a variety of estimation techniques;
- Conduct and explain the results of a hypothesis test;
- Carry out and interpret an analysis of variance test and compare the difference between two or more sets of data; and,
- Apply and interpret regression models.
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.
Examination Material or equipment
Access to a computer & scanner.
No compulsory textbooks. You can choose your preferred introductory to statistics books as an additional resource if you wish.
Statistics for Management & Economics by Gerald Keller is available as an ebook via ANU library and can be found via this link https://library.anu.edu.au/record=b6752644.
Students will be given feedback in the following forms in this course:
- Written comments
- Verbal comments
Student FeedbackANU 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.
- 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 ghostwriting services will be investigated under the University’s Academic Misconduct Rule.
|Week/Session||Summary of Activities||Assessment|
|1||Pre-intensive Monday 3rd October - Sunday 30th October Topics: Descriptive statistics. Probability. Discrete random variables. Continuous random variables. Sampling distributions. Estimation. Designed for self study. Read lecture materials and view videos on each topic. Complete tutorial questions on your own or in a study group. Get help via the Discussion Forum or email me and make an appointment.||Online Quiz 1 (15%) Available on Wattle from 9:00am Friday October 14th to 11:59 pm Sunday October 30. Subject matter of the quiz will be related to lecture material and tutorials already completed. Once commenced, must be completed within 2 hours.|
|2||Intensive Monday 31st October - Thursday 3rd November Topics: 7. Hypothesis testing. 8. Comparing two populations. 9. Analysis of variance 10. Chi-squared tests (time permitting) 11. Simple linear regression 12. Multiple linear regression||Online Quiz 2 (15%) Available on Wattle from 9:00am Friday 4th November to 11:59pm Sunday 13th November. Subject matter of the quiz will be related to lecture material and tutorials already completed. Once commenced, must be completed within 2 hours.|
|3||Post-intensive Friday 4th November - Friday 2nd December Self study. Review materials and prepare for your Assessment items.||Assignment (20%) Released 9:00 am Friday 11th November; Due 11:59pm Sunday 20 November. Final exam (50%) Saturday 3rd December 10am - 3pm.|
|Assessment task||Value||Due Date||Return of assessment||Learning Outcomes|
|Online Wattle Quiz 1||15 %||30/10/2022||30/10/2022||1, 2, 3, 4|
|Online Wattle Quiz 2||15 %||13/11/2022||27/11/2022||1, 2, 3, 4, 5, 6, 7|
|Assignment||20 %||20/11/2022||04/12/2022||1, 2, 3, 4, 5, 6, 7|
|Final Exam||50 %||04/12/2022||18/12/2022||1, 2, 3, 4, 5, 6, 7|
* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details
PoliciesANU 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:
- Student Assessment (Coursework) Policy and Procedure
- Special Assessment Consideration Policy and General Information
- Student Surveys and Evaluations
- Deferred Examinations
- Student Complaint Resolution Policy and Procedure
Assessment RequirementsThe 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 AssessmentMarks 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.
See above for examination details.
Assessment Task 1
Learning Outcomes: 1, 2, 3, 4
Online Wattle Quiz 1
An online quiz will go live over the 3rd and 4th week of the pre-intensive period. It will be available to complete over 2 hours from 9:00am Friday October 14 to 11:59 pm Sunday October 30. Students will be provided detailed instructions on how to complete the quiz on Friday October 14. On Friday October 14 a link to the quiz will go live on the class Wattle page. Further details regarding the grades, number of questions, and subject matter related to the quiz will be outlined along with the link to the quiz. The quiz is to be completed online via the Wattle site and will cover material from Topic 1 (Descriptive Statistics) up to and including Topic 6 (Estimation). You are prohibited from consulting online resources or discussing the online quiz with anyone.
Assessment Task 2
Learning Outcomes: 1, 2, 3, 4, 5, 6, 7
Online Wattle Quiz 2
An online quiz will be held during the first post-intensive week. It will be available to complete over 2 hours from 9:00am Friday November 4 to 11:59 pm Sunday November 13. Students will be provided detailed instructions on how to complete the quiz on Friday November 4. On Friday November 4 a link to the quiz will go live on the class Wattle page. Further details regarding the grades, number of questions, and subject matter of the quiz will be outlined. The quiz is to be completed online via the Wattle site and will cover material from Topic 1 (Descriptive Statistics) up to and including Topic 12 (Multiple Linear Regression). You are prohibited from consulting online resources or discussing the online quiz with anyone.
Assessment Task 3
Learning Outcomes: 1, 2, 3, 4, 5, 6, 7
An assignment will be released on Friday 11th November 9:00am. Students will be provided detailed instructions on how to complete the assignment on the class Wattle page. The assignment will involve a combination of worked problems to be solved and statistical analysis to be conducted using the R software program and will potentially cover material from the whole course. The assignment will be due by 11:59pm on Sunday 20th November. The Assignment will need to be saved or scanned as a PDF file and uploaded via Turnitin. You are prohibited from consulting online resources or discussing the assignment with anyone.
Assessment Task 4
Learning Outcomes: 1, 2, 3, 4, 5, 6, 7
A final exam will be held at the end of the post-intensive period over 5-hours from 10:00am to 3:00pm on Saturday 3rd December. Students will be provided with detailed instructions on how to complete the exam when the exam goes live. It will cover material from the whole course.
The exam will be made available for download via Turnitin on Saturday Dec 3 from 10am AEST. It must be completed on your own and uploaded via Turnitin (as a PDF file) by 3pm on Saturday Dec 3 AEST. You may complete it early. 5 hours gives plenty of time to ask questions, complete the exam, scan it and deal with any IT issues that may arise. You are prohibited from collaborating with ANYONE or finding resources on the internet to assist you with the Final Exam.
Academic IntegrityAcademic 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.
The ANU uses 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.
Online submissions via Turnitin only.
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 RequirementsAccepted 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.
Assignments will be returned to students via Wattle.
Extensions and PenaltiesExtensions 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
Once submitted, any part of the assessments may not be resubmitted.
Distribution of grades policyAcademic 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 studentsThe 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).
- ANU Health, safety & wellbeing for medical services, counselling, mental health and spiritual support
- ANU Diversity and inclusion for students with a disability or ongoing or chronic illness
- ANU Dean of Students for confidential, impartial advice and help to resolve problems between students and the academic or administrative areas of the University
- ANU Academic Skills and Learning Centre supports you make your own decisions about how you learn and manage your workload.
- ANU Counselling Centre promotes, supports and enhances mental health and wellbeing within the University student community.
- ANUSA supports and represents undergraduate and ANU College students
- PARSA supports and represents postgraduate and research students
Applied data analytics: Valuing ESG risks, AI expert systems, distributed ledgers, cryptographic assets, applied probability and statistics for finance. I love designing and commercialising data products. My research interests support this endeavour.
Dr Priya Dev
Dr Priya Dev