• Class Number 3248
• Term Code 3430
• Class Info
• Unit Value 6 units
• Mode of Delivery In Person
• COURSE CONVENER
• Dr Bronwyn Loong
• LECTURER
• Dr Bronwyn Loong
• Class Dates
• Class Start Date 19/02/2024
• Class End Date 24/05/2024
• Census Date 05/04/2024
• Last Date to Enrol 26/02/2024
SELT Survey Results

Quantitative Research Methods (STAT1008)

Quantitative Research Methods provides basic training in the gathering, description and analysis of quantitative information in the social, business, management and financial sciences.

This is a course in basic research methods including discussions of: data gathering issues and techniques; sources of data and potential biases; graphical and numerical data description techniques including simple linear regression, sampling behaviour of averages and the Central Limit Theorem; point and interval estimation procedures; concepts in hypothesis testing for comparing two populations, simple and multiple linear regression; p-values and significance levels.

## Learning Outcomes

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

1. Compare and contrast different sampling methodologies and assess suitability for a range of situations;
2. Discuss different types of variables and produce appropriate graphical and numerical descriptive statistics;
3. Explain and apply probability rules and concepts relating to a range discrete and continuous random variables;
4. Describe the importance of the Central Limit Theorem and its uses and applications;
5. Use concepts of estimation, including point and interval estimators;
6. Perform and interpret hypothesis tests for a range of situations;
7. Perform and interpret simple and multiple linear regressions; and,
8. Use technology to perform statistical analysis, and interpret statistical software output.

## Research-Led Teaching

In order to investigate new fields, make sense of new areas and tackle new problems, we need appropriate tools to explore and summarise data, graphically and numerically, and make decisions using the data under uncertainty. This course will use examples from varied areas to introduce statistical tools, methods and ways of thinking to students and prepare them for future courses, work and research projects. The assignment will require students to source their own data set for analysis and independently formulate their own research question.

## Examination Material or equipment

The mid-semester exam will be over the week 6/7 period with details to be advised no later than teaching week 4 of the semester. The final exam will be centrally timetabled by Examinations, Graduations & Prizes prior to the examination period and will be held in person on campus. Please check ANU Timetabling for further information. You will require a scientific calculator for the mid-semester and final exams.

## Required Resources

The required textbook is Business Analytics and Statistics (1st edition, 2019) by Black, Asafu-Adjaye, Burke, Perera, Sherwood Wasimi

Electronic copies of the textbook have been requested at the library

This course will also use Microsoft Excel to view data sets, perform some calculations and generate graphs. The software can be accessed for free by ANU students here:

https://services.anu.edu.au/information-technology/software-systems/microsoft-office-365

A scientific calculator or Microsoft Excel can be used to perform the calculations required for this course.

## Staff Feedback

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

?                To the whole class during lectures.

?                Within tutorial 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). Feedback can also be provided to Course Conveners and teachers via the Student Experience of Learning & Teaching (SELT) feedback program. SELT surveys are confidential and also provide the Colleges and ANU Executive with opportunities to recognise excellent teaching, and opportunities for improvement.

## 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.

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

Scaling

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.

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 TopicsChapter 1 - Basic Statistical concepts (Section 1.3)Chapter 7 - Collecting data (Sections 7.1 - 7.3)Chapter 2 - Presenting data in tables and charts (Section 2.1; Section 2.2 (histograms and scatter plots); Section 2.3)Introduction to Microsoft Excel
• ONLINE QUIZ 1 - opens 12:01am Friday 23 February; closes 11:59pm Monday 26 February
2 TopicsIntroduction to Microsoft ExcelChapter 3 - Descriptive Summary Measures
• ONLINE QUIZ 2 - opens 12:01am Friday 1 March; closes 11:59pm Monday 4 March
3 TopicsChapter 4 - Probability
• ONLINE QUIZ 3 - opens 12:01am Friday 8 March; closes 11:59pm Monday 11 March
4 TopicsChapter 5 - Discrete probability distributions (Sections 5.1 - 5.3)
• ONLINE QUIZ 4 - opens 12:01am Friday 15 March; closes 11:59pm Monday 18 March
5 TopicsChapter 6 - Normal distribution and other continuous distributions (Sections 6.1 - 6.5)
• ONLINE QUIZ 5 - opens 12:01am Friday 22 March; closes 11:59pm Monday 25 March
6 TopicsChapter 7 - Sampling distributions (Sections 7.4 - 7.5)Chapter 8 - Confidence interval estimation
• ONLINE QUIZ 6 - opens 12:01am Friday 29 March; closes 11:59pm Wednesday 3 April
• MIDSEMESTER will be held either in Week 6 or Week 7
7 TopicsChapter 8 - Confidence interval estimationChapter 9 - Hypothesis testing : single population tests
• ONLINE QUIZ 7 -opens 12:01am Friday 19 April; closes 11:59pm Monday 22 April
• MIDSEMESTER will be held either in Week 6 or Week 7
8 TopicsChapter 9 - Hypothesis testing : single population tests
• ONLINE QUIZ 8 - opens 12:01am Friday 26 April; closes 11:59pm Monday 29 April
9 TopicsChapter 10 - Hypothesis testing: two population tests
• ONLINE QUIZ 9 - opens 12:01am Friday 3 May; closes 11:59pm Monday 6 May
10 TopicsChapter 11 (Section 11.2) - One way ANOVAChapter 12 (Section 12.2) - Chi-square test of independenceChapter 13 - Simple linear regression
• ONLINE QUIZ 10 - opens 12:01am Friday 10 May; closes 11:59pm Monday 13 May
11 TopicsChapter 13 - Simple linear regressionChapter 14 - Multiple linear regression
• ASSIGNMENT DUE - 11:59pm Wednesday 15 May
• ONLINE QUIZ 11 - opens 12:01am Friday 17 May; closes 11:59pm Monday 20 May
12 TopicsChapter 14 - Multiple linear regression
Review

## Tutorial Registration

Tutorials (to be held in the computer labs) will be held weekly (starting from week 2). All tutorials will be held on campus. Students should enrol in a tutorial using MyTimetable.

## Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Weekly Quizzes 10 % 23/02/2024 21/05/2024 1,2,3,4,5,6,7,8
Mid-Semester Exam 20 % 25/03/2024 03/05/2024 1,2,3,4
Assignment 15 % 15/05/2024 29/05/2024 1,2,3,4,5,6,7,8
Final Exam 55 % 30/05/2024 27/06/2024 1,2,3,4,5,6,7,8

* 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 Integrity 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 Academic Skills website. In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.

## 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

Course content delivery will take form of pre-recorded weekly lectures available on Wattle, a weekly face-to-face workshop and weekly on-campus tutorials/computer labs. Weekly consultations with the lecturer and the tutor(s) will be conducted online over Zoom.

Students are expected to have viewed the pre-recorded lecture prior to the weekly workshop on Wednesday. The pre-recorded lecture will be uploaded by 12 noon on the Monday of each teaching week.

Attendance at lectures and tutorials, while not compulsory, is expected in line with “Code of Practice for Teaching and Learning”, clause 2 paragraph (b).

## Examination(s)

The mid-semseter and final exam will be centrally timetabled by Examinations, Graduations & Prizes prior to the examination period. Please check ANU Timetabling for further information.

## Assessment Task 1

Value: 10 %
Due Date: 23/02/2024
Return of Assessment: 21/05/2024
Learning Outcomes: 1,2,3,4,5,6,7,8

Weekly Quizzes

There will be 11 short online quizzes held on Wattle testing knowledge and understanding of each week's lecture (and preceding lectures). The quiz will open on Friday at 12:01am at the end of each week (weeks 1-11 inclusive) and close on the following Monday at 11:59pm. That is, each quiz will be open for a 96 hour (4-day) period, with the exception of Online Quiz 6, which will be open for 6 days due to the Easter long weekend. Once the quiz is started it will need to be completed in the set time period. One attempt per quiz is permitted.

The best 10 quiz marks will count towards this assessment. That is, each of the best 10 quiz results will contribute 1% towards the final mark for a total of 10%.

The time allowed for each quiz may vary depending on the difficulty of that week's material. The expected time allowed for each quiz is 30 - 60 minutes. Each quiz will consist of up to ten multiple choice questions or short-answer calculation questions. Each question in each quiz will be presented on a separate page and students can navigate backwards and forwards through the quiz. More specific details on the content and duration of each quiz will be announced on Wattle. All quizzes are open book and all materials are permitted. No invigilation software will be used for the quizzes.

Solutions and marks will be released upon the close of each quiz. Therefore, extensions for quizzes are not permitted under any circumstances.

## Assessment Task 2

Value: 20 %
Due Date: 25/03/2024
Return of Assessment: 03/05/2024
Learning Outcomes: 1,2,3,4

Mid-Semester Exam

The mid-semester exam will be over the week 6/7 period with details to be advised no later than teaching week 4 of the semester.

The mid-semester exam is worth 20% of the overall score in the course. The mid-semester exam is compulsory and is not redeemable. The mid-semester exam will cover Chapters 1,2,3,4,5 and Sections 7.1 - 7.3.

The mid-semester exam will be over the week 6/7 period with details to be advised no later than teaching week 4 of the semester. The mid-semester exam duration will be 1.5 - 2 hours. The mid-semester exam may consist of multiple choice questions, short-answer calculation questions and short-answer written questions. Students will be required to submit working for some questions, as specified in the assessment. All work must be the students' own. Further details on the mid-semester exam (duration, format, permitted materials) will be made available by the end of Week 4. Practice exams will be made available on Wattle by the end of Week 4.

## Assessment Task 3

Value: 15 %
Due Date: 15/05/2024
Return of Assessment: 29/05/2024
Learning Outcomes: 1,2,3,4,5,6,7,8

Assignment

Students will be asked to source a data set of their choice, and will be required to conduct exploratory data analysis and run statistical hypothesis test(s) to answer research question(s) of their choice based on their chosen data set. Detailed instructions will be made available on Wattle by the end of Week 2.

The assignment is to be done individually. The assignment is to be submitted online on Wattle via Turnitin. Turnitin is a text-matching software to check for plagiarism. University policies on plagiarism will be strictly enforced.

The assignment is worth 15% of the overall score in the course and is compulsory.

Late submissions of the assignment without an approved extension from the course convenor will attract a 5% penalty per day after the deadline. Submissions made 10 days after the deadline will not be accepted.

The assignment will be due in Week 11 on Wednesday 15 May by 11:59pm.

The assignment will be returned by Wednesday 29 May. Short individual feedback will be provided online along with the grade.

## Assessment Task 4

Value: 55 %
Due Date: 30/05/2024
Return of Assessment: 27/06/2024
Learning Outcomes: 1,2,3,4,5,6,7,8

Final Exam

A compulsory final examination will be held during the university examination period at the end of semester. The exam will be held in-person on campus and will cover the entire syllabus. Students may bring in one A4 page (double-sided) of notes, either hand-written or typed, to the exam.

The exam will be centrally timetabled. Details of the final examination timetable will be made available on the ANU Timetabling website. The onus is upon students to acquire their own scheduling details.

The final exam is worth 55% of the overall score in the course and is compulsory.

The exam duration will be 3 hours. The final exam may consist of multiple choice questions, short-answer calculation questions and short-answer written questions. Students will be required to submit working for some questions, as specified in the assessment. All work must be the students' own. Further details on the exam (duration, format, permitted materials) will be made available by the end of Week 10. Practice exams will be made available on Wattle by the end of Week 10.

Academic integrity is a core part of the ANU culture as a community of scholars. The University’s students are an integral part of that community. The academic integrity principle commits all students to engage in academic work in ways that are consistent with, and actively support, academic integrity, and to uphold this commitment by behaving honestly, responsibly and ethically, and with respect and fairness, in scholarly practice.

The University expects all staff and students to be familiar with the academic integrity principle, the Academic Integrity Rule 2021, the Policy: Student Academic Integrity and Procedure: Student Academic Integrity, and to uphold high standards of academic integrity to ensure the quality and value of our qualifications.

The Academic Integrity Rule 2021 is a legal document that the University uses to promote academic integrity, and manage breaches of the academic integrity principle. The Policy and Procedure support the Rule by outlining overarching principles, responsibilities and processes. The Academic Integrity Rule 2021 commences on 1 December 2021 and applies to courses commencing on or after that date, as well as to research conduct occurring on or after that date. Prior to this, the Academic Misconduct Rule 2015 applies.

The University commits to assisting all students to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. All coursework students must complete the online Academic Integrity Module (Epigeum), and Higher Degree Research (HDR) students are required to complete research integrity training. The Academic Integrity website provides information about services available to assist students with their assignments, examinations and other learning activities, as well as understanding and upholding academic integrity.

## 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) submission must be through Turnitin.

## Hardcopy Submission

Hardcopy submission will not be permitted.

## Late Submission

Late submissions of the assignment without an approved extension from the course convenor will attract a 5% penalty per day after the deadline. Submissions made 10 days after the deadline will not be accepted.

## Referencing Requirements

The Academic Skills website has information to assist you with your writing and assessments. The website includes information about Academic Integrity including referencing requirements for different disciplines. There is also information on Plagiarism and different ways to use source material.

## Returning Assignments

Short individual feedback on assignments will be provided online via Turnitin along with the grade

## Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. Extensions may be granted 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

No resubmission of the assignment will be permitted after the due date and time.

## 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).

## Convener

 Dr Bronwyn Loong 6125 7312 U9910732@anu.edu.au

### Research Interests

Bayesian Statistics, Missing Data, Data confidentiality

### Dr Bronwyn Loong

 Tuesday 12:00 14:00 Tuesday 12:00 14:00

## Instructor

 Dr Bronwyn Loong 6125 7312 bronwyn.loong@anu.edu.au

### Dr Bronwyn Loong

 Tuesday 12:00 14:00 Tuesday 12:00 14:00

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