• Class Number 6540
• Term Code 3170
• Class Info
• Unit Value 6 units
• Topic Intensive Course
• Mode of Delivery In Person
• COURSE CONVENER
• Linh Nghiem
• LECTURER
• Linh Nghiem
• Class Dates
• Class Start Date 04/10/2021
• Class End Date 03/12/2021
• Census Date 22/10/2021
• Last Date to Enrol 22/10/2021
• TUTOR
• Yihan Xu
SELT Survey Results

Introductory Statistics for Business and Finance (STAT7055)

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

## Required Resources

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.

## Staff Feedback

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

## 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

1. As a further academic integrity control, students may be selected for a 15 minute individual oral examination of their written assessment submissions.
2. 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.

## Class Schedule

Week/Session Summary of Activities Assessment
1 Pre-intensive Oct 4 - Oct 31 Topics: Descriptive statistics. Probability. Discrete random variables. Continuous random variables. Sampling distributions. Designed for self-study. Read lecture materials and view videos on each topic. Follow by completing Tutorial questions on your own or in a study group. Wattle Quizzes 1 and 2
2 Intensive Nov 01 - Nov 05 Topics: 6. Estimation. 7. Hypothesis testing. 8. Comparing two populations. 9. Simple linear regression 10. Multiple linear regression
3 Post-intensive Nov 8 - Dec 3 Self-study. Review materials and prepare for your Assessment items. Problem set Final exam

## Tutorial Registration

No tutorial registration is needed for the course.

## Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Wattle Quiz 1 15 % 18/10/2021 25/10/2021 1, 2, 3, 4
Wattle Quiz 2 15 % 31/10/2021 07/11/2021 1, 2, 3, 4, 5, 6, 7
Problem Set 30 % 22/11/2021 29/11/2021 1, 2, 3, 4, 5, 6, 7
Final Exam 40 % 06/12/2021 20/12/2021 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

## Policies

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.

## Participation

Students are recommended to be available to join the online live Zoom sessions during the one-week intensive period but this will not be mandatory. Outside of the one-week intensive period, students are expected to use the materials available on Wattle to learn on their own. It is advised to regularly check Wattle for updated information. The teaching format will be online live lectures during the intensive period (recorded) via Zoom and pre-recorded recordings outside of the intensive period (available on Wattle).

## Examination(s)

See above for examination details.

Value: 15 %
Due Date: 18/10/2021
Return of Assessment: 25/10/2021
Learning Outcomes: 1, 2, 3, 4

Wattle Quiz 1

This quiz will cover topics 1 and 2 of the course. The quiz will be released no later than two weeks before the due date, is completed individually, and is not redeemable. It will be conducted using the Wattle quiz tool. Each student will have only one attempt (before the deadline), but the attempt is not timed (i.e student can take as much time as needed), so students are strongly encouraged to do the quiz while studying the materials.

Value: 15 %
Due Date: 31/10/2021
Return of Assessment: 07/11/2021
Learning Outcomes: 1, 2, 3, 4, 5, 6, 7

Wattle Quiz 2

This quiz will cover topics 3, 4 and 5 of the course. The quiz will be released no later than two weeks before the due date, is completed individually, and is not redeemable. It will be conducted using the Wattle quiz tool. Each student will have only one attempt (before the deadline), but the attempt is not timed (i.e students can take as much time as needed), so students are strongly encouraged to do the quiz while studying the materials.

Value: 30 %
Due Date: 22/11/2021
Return of Assessment: 29/11/2021
Learning Outcomes: 1, 2, 3, 4, 5, 6, 7

Problem Set

The problem set will cover topics discussed in the intensive week of the class. The problem set will be released no later than two weeks before the due date, is completed individually, and is not redeemable. Students will upload the work via TurnItIn.

Value: 40 %
Due Date: 06/12/2021
Return of Assessment: 20/12/2021
Learning Outcomes: 1, 2, 3, 4, 5, 6, 7

Final Exam

A take-home final exam will be held at the end of the course. The exam will be open from 1PM (Canberra time) Friday 3 Dec and close at 5PM Monday 6 Dec. Each student can attempt at any time in this period but once starting the exam, a student only has 24-hour to upload the solution to Wattle. The final exam can potentially cover every topic of the course. Students are not allowed to discuss the final exam with anyone except with the lecturer via email.

## Online Submission

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.

## Hardcopy Submission

Online submissions via Turnitin only.

## 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

Assignments will be returned to students via Wattle.

## 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

Once submitted, any part of the assessments may not be resubmitted.

## Privacy Notice

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).

## Convener

 Linh Nghiem u1074273@anu.edu.au

### Research Interests

Measurement error modeling, graphical model, dimension reduction

### Linh Nghiem

 By Appointment By Appointment

## Instructor

 Linh Nghiem 61250535 linh.nghiem@anu.edu.au

### Linh Nghiem

 By Appointment By Appointment

## Tutor

 Yihan Xu

### Yihan Xu

 By Appointment