• Class Number 3585
• Term Code 3330
• 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 20/02/2023
• Class End Date 26/05/2023
• Census Date 31/03/2023
• Last Date to Enrol 27/02/2023
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, deal with the variation it presents and make decisions 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 midsemester and final exams will be centrally timetabled by Examinations, Graduations & Prizes prior to the examination period. Please check ANU Timetabling for further information. The exams will be administered online by the lecturer. All exams and quizzes will be open book and all materials are permitted.

## Required Resources

The required textbook is Basic Business Statistics (2019, 5th edition) by Mark L. Berenson, David M. Levine, Kathryn A. Szabat, Martin O'Brien, Nicola Jayne and Judith Watson.

Electronic copies of the textbook are available in the library here: https://library.anu.edu.au/record=b5797359

The e-textbook or hard copies can be purchased here: https://www.pearson.com.au/9781488664854.

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). 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.

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 Topics Chapter 1 - Defining and Collecting Data Chapter 2 - Presenting data in tables and charts Introduction to Microsoft Excel ONLINE QUIZ 1 - Chapters 1 and 2 (Quiz 1 opens 12am Friday 24 February; Quiz 1 closes 11:59pm Monday 27 February)
2 Topics Introduction to Microsoft Excel Chapter 3 - Numerical descriptive measures ONLINE QUIZ 2 - Chapter 3 (Quiz 2 opens 12am Friday 3 March; Quiz 2 closes 11:59pm Monday 6 March)
3 Topics Chapter 3: Numerical descriptive measures ?Chapter 4 - Basic Probability ONLINE QUIZ 3 - Chapter 3 (Quiz 3 opens 12am Friday 10 March; Quiz 3 closes 11:59pm Monday 13 March)
4 Topics Chapter 4 - Basic Probability Chapter 5 - Discrete probability distributions ONLINE QUIZ 4 - Chapter 4 (Quiz 4 opens 12am Friday 17 March; Quiz 4 closes 11:59pm Monday 20 March)
5 Topics Chapter 5 - Discrete probability distributions Chapter 6 - Normal distribution ONLINE QUIZ 5 - Chapter 5 (Quiz 5 opens 12am Friday 24 March; Quiz 5 closes 11:59pm Monday 27 March)
6 Topics Chapter 6 - Normal distribution Chapter 7 - Sampling distributions ONLINE QUIZ 6 - Chapter 6 (Quiz 6 opens 12am Friday 31 March; Quiz 6 closes 11:59pm Monday 3 April) ONLINE MIDSEMESTER will be held either in Week 6 or Week 7
7 Topics Chapter 7 - Sampling distributions Chapter 8 - Confidence interval estimation ONLINE QUIZ 7 - Chapters 7 and 8; (Quiz 7 opens 12am Friday 21 April; Quiz 7 closes 11:59pm Monday 24 April) ONLINE MIDSEMESTER will be held either in Week 6 or Week 7
8 Topics Chapter 9 - Hypothesis testing : one-sample tests ONLINE QUIZ 8 - Chapter 9 (Quiz 8 opens 12am Friday 28 April; Quiz 8 closes 11:59pm Monday 1 May)
9 Topics Chapter 10 - Hypothesis testing: two-sample tests ONLINE QUIZ 9 - Chapter 10 (Quiz 9 opens 12am Friday 5 May; Quiz 9 closes 11:59pm Monday 8 May)
10 Topics Chapter 12 - Simple linear regression ONLINE QUIZ 10 - Chapter 12 Sections 12.1 - 12.5 (Quiz 10 opens 12am Friday 12 May; Quiz 10 closes 11:59pm Monday 15 May)
11 Topics Chapter 12 - Simple linear regression Chapter 13 - Multiple linear regression ASSIGNMENT DUE - 11:59pm Wednesday 17 May ONLINE QUIZ 11 - Chapter 12: Sections 12.7 - 12.9 and Chapter 13: Sections 13.1 - 13.4; (Quiz 11 opens 12am Friday 19 May; Quiz 11 closes 11:59pm Monday 22 May)
12 Topics Chapter 13 - Multiple linear regression Review

## Tutorial Registration

Tutorials will be held weekly (starting from week 2). Tutorials will be available on campus, live through scheduled Zoom sessions and as pre-recorded videos. Students should enrol in their tutorial using MyTimetable.

## Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Weekly Quizzes 10 % 24/02/2023 23/05/2023 1,2,3,4,5,6,7,8
Mid-Semester Exam 20 % 27/03/2023 05/05/2023 1,2,3,4
Assignment 25 % 17/05/2023 31/05/2023 1,2,3,4,5,6,7,8
Final Exam 45 % 01/06/2023 29/06/2023 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 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 Academic Integrity . 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 via echo360 on Wattle), a weekly face-to-face workshop and weekly tutorials, delivered in hybrid format (on campus, live through scheduled Zoom sessions and as pre-recorded videos).

Students are expected to have viewed the pre-recorded lecture prior to the weekly workshop on Thursday. 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-semester and final exams will be centrally timetabled by Examinations, Graduations & Prizes prior to the examination period. Please check ANU Timetabling for further information. The exams will be administered online by the lecturer.

Value: 10 %
Due Date: 24/02/2023
Return of Assessment: 23/05/2023
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 12am (midnight) at the end of each week (weeks 1-11 inclusive) and close on the following Monday at 11:59pm. That is, the quiz will be open for a 96 hour (4-day) period. Once the quiz is started it will need to be completed in a limited 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 format and duration of each quiz will be announced on Wattle. All quizzes are open book and all materials are permitted. Neither Proctorio nor Zoom will be used for invigilation of the quizzes.

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

Value: 20 %
Due Date: 27/03/2023
Return of Assessment: 05/05/2023
Learning Outcomes: 1,2,3,4

Mid-Semester Exam

This mid-semester online exam will be held in week 6 or week 7. The mid-semester will cover Chapters 1,2,3 4 and 5 of the textbook. It will be open book and all materials are permitted. Neither Proctorio nor Zoom will be used for invigilation of the mid-semester exam.

Details of the mid-semester examination timetable will be made available on the ANU Timetabling website. The onus is upon students to acquire their own scheduling details.

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 duration will be approximately 1.5 - 2.5 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 and format) will be made available by the end of Week 4. An online practice exam will be made available on Wattle by the end of Week 4.

Value: 25 %
Due Date: 17/05/2023
Return of Assessment: 31/05/2023
Learning Outcomes: 1,2,3,4,5,6,7,8

Assignment

Students will be asked to source a data set of their choice and provide an analysis of their chosen data set using the statistical concepts and

methods from Chapters 1, 2 , 3 and 7, 8, 9 and 12 of the textbook. Specifically, students will be required to conduct exploratory data analysis on their chosen data set 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 25% of the overall score in the course and is compulsory.

No late assignments will be accepted without prior permission from the course convenor. An assignment without an approved extension that is submitted after the due date and time will receive a mark of zero.

The assignment will be due in Week 11 on Wednesday 17 May by 11:59pm.

The assignment will be returned by Wednesday 31 May.  Short individual feedback will be provided online along with the grade.

Value: 45 %
Due Date: 01/06/2023
Return of Assessment: 29/06/2023
Learning Outcomes: 1,2,3,4,5,6,7,8

Final Exam

A compulsory final online examination will be held during the university examination period at the end of semester. The final examination will cover the entire syllabus. It will be open book and all materials are permitted. Neither Proctorio nor Zoom will be used for invigilation of the final exam.

The exam will be centrally timetabled and administered by the lecturer. 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 45% of the overall score in the course and is compulsory.

The exam duration will be approximately 3 - 4 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 (exam duration and format) will be made available by the end of Week 10. A practice online exam 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. At its heart, academic integrity is about behaving ethically, committing to honest and responsible scholarly practice and upholding these values with respect and fairness.

The ANU commits to assisting all members of our community to 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 be familiar with the academic integrity principle and Academic Misconduct Rule, 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.

## 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

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 without an approved extension, 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

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.
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.

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 bronwyn.loong@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