Course coordinator
Dr Temesgen Kifle
Course overview
- Study period
- Semester 2, 2024 (22/07/2024 - 18/11/2024)
- Study level
- Postgraduate Coursework
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- Economics School
Statistical inference, probability & sampling distributions, estimation, hypothesis tests, correlation & regression, experimental design, sample survey design, quality sampling, modern business decision theory.
ECON7300 is a postgraduate course in introductory statistics designed primarily for Business, Commerce and Economics students. The course covers a variety of statistical concepts and techniques applicable to the collection, presentation, interpretation and use of numerical data, including probability and sampling distributions, hypothesis testing, analysis of variance, simple and multiple linear regression, time-series forecasting, and decision analysis. It provides the foundation for understanding statistical procedures that help students do solid statistical analysis in business and economic situations.
The course includes access to learning content on the UQ Extend platform, with studio-produced lecture video segments and accompanying learning activities. Students must work through the relevant UQ Extend course content and complete aﾠpre-workshop quiz before the scheduled workshop (lecture). Workshops will focus on the more complex concepts and practical statistical applications, providing students with additional learning opportunities in class.
Course requirements
Assumed background
This course is a basic Statistics Course. Accordingly, not having any background in Statistics will not have any bearing on your performance in this course.ﾠ
As forﾠany math-related course, performance and success of a studentﾠgreatlyﾠdepends on the amount of work, persistence and diligence in studying all the materialﾠfrom the lectures, workshops, tutorials, completinigﾠassignments and tests that the student invests in during the study period.
Before attempting this course, you are advised that it is important to complete the appropriate prerequisite course(s) listed on the from of the course profile. No responsibility will be accepted by UQ School of Economics, the Faculty of Business, Economics and Law or The University of Queensland for poor student performance occurring in courses where the appropriate prerequisites(s) has/have not been completed, for any reason whatsoever.
Recommended prerequisites
We recommend completing the following courses before enrolling in this one:
Snr Maths I or B or MATH1040 or MP127 or MT140 or equiv.
Incompatible
You can't enrol in this course if you've already completed the following:
ECON1310
Course contact
School enquiries
Student Enquiries, School of Economics
All enquiries regarding student and academic administration (i.e. non-course content information, e.g., class allocation, timetables, extension to assessment due date, etc.) should be directed to enquiries@economics.uq.edu.au.
Enquiries relating specifically to course content should be directed to the Course Coordinator/Lecturer.
Course staff
Lecturer
Dr Temesgen Kifle
Tutor
Mrs Eugenia Arrarte Brown
Ms Gin Wu
Miss Milagros Victoria Aguilar Palpa
Mr Derick Wang
Timetable
The timetable for this course is available on the UQ Public Timetable.
Additional timetable information
Workshops (scheduled lectures) commence in Teaching Week 1.
Tutorials commence in Teaching Week 2.
Consultations commence in Teaching Week 2.
Student are required to log their preferences for a tutorial group via My Timetable (available through my.UQ dashboard).
Students should refer to the timetable prior to the commencement of classes to ensure that they have the most up to date information, as from time-to-time late room changes may occur. The timetable can be downloaded hereﾠPublic Timetable.
Public Holidays: Wed 14 August (Royal Queensland Show), Mon 7 October (King's Birthday).
In-Semester Break: 23 - 29 September. Semester 2 classes recommence Mon 30 September.
Aims and outcomes
ﾠ As a postgraduateﾠcourse, ECON7300 introduces key procedures for measuring and analysing economic and business variables.ﾠThis course is designed to provide a solid understanding of quantitative concepts used in economics and business. We live and work in an uncertain world. We take risks on all sorts of things daily: weather, markets, traffic, investments, casinos and so on. Businesses and governments operate with similar uncertainties. Information costs could be quite high, and we can never measure everything. Inevitably, important decisions must be made based on a limited set of information. Training in statistics will help you to make more informed and better decisions for the future.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Use basic probability concepts and apply various probability distributions to solve business problems.
LO2.
Draw conclusions about populations based only on sample information using methods of statistical inference.
LO3.
Use and interpret simple and multiple regression analysis in economics and business.
LO4.
Apply regression analysis and other statistical methodologies to forecast time series data.
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Quiz |
Pre-Workshop Quizzes
|
20% (best 8 of 11) |
O-week Tue - Week 1 Mon Week 1 Tue - Week 2 Mon Week 2 Tue - Week 3 Mon Week 3 Tue - Week 4 Mon Week 4 Tue - Week 5 Mon Week 5 Tue - Week 6 Mon Week 6 Tue - Week 7 Mon Week 8 Tue - Week 9 Mon Week 9 Tue - Week 10 Mon Week 10 Tue - Week 11 Mon Week 11 Tue - Week 12 Mon
All quizzes are due by 16:00 |
| Project |
Project
|
30% |
8/10/2024 4:00 pm |
| Examination |
End-of-Semester Exam
|
50% |
End of Semester Exam Period 2/11/2024 - 16/11/2024 |
Assessment details
Pre-Workshop Quizzes
- Online
- Mode
- Written
- Category
- Quiz
- Weight
- 20% (best 8 of 11)
- Due date
O-week Tue - Week 1 Mon
Week 1 Tue - Week 2 Mon
Week 2 Tue - Week 3 Mon
Week 3 Tue - Week 4 Mon
Week 4 Tue - Week 5 Mon
Week 5 Tue - Week 6 Mon
Week 6 Tue - Week 7 Mon
Week 8 Tue - Week 9 Mon
Week 9 Tue - Week 10 Mon
Week 10 Tue - Week 11 Mon
Week 11 Tue - Week 12 Mon
All quizzes are due by 16:00
Task description
Each of the 11 pre-workshop quizzes will be worth 2.5%, and only the best 8 of 11 will count towards to overall weight of the course.
For instance, pre-workshop quiz 1 will be released to students in orientation week (O-week), and students are expected to complete the quiz between Tuesday 16:00 and Monday 16:00 of the following week. Students need to watch the pen and studio videos related to Topic 1 on UQ Extend before completing pre-workshop quiz 1. These videos will be available each Monday, starting in O-week.
This assessment task evaluates students' abilities, skills and knowledge without the aid of generative Artificial Intelligence (AI). Students are advised that the use of AI technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Blackboard
Deferral or extension
You cannot defer or apply for an extension for this assessment.
As this assessment item is best 8 out of 11 pre-workshop quizzes, there is no extension.
Late submission
You will receive a mark of 0 if this assessment is submitted late.
Project
- Online
- Mode
- Written
- Category
- Project
- Weight
- 30%
- Due date
8/10/2024 4:00 pm
Task description
Students submit individual assignment by the due date. Full description of the requirements for the statistical project will be posted on Blackboard.
This assessment task evaluates students' abilities, skills and knowledge without the aid of generative Artificial Intelligence (AI). Students are advised that the use of AI technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
The project must be submitted electronically (via Turnitin) following the submission guidelines and instructions, which can be found on the Blackboard site via the Online Submission Folder. All projects must be submitted by the due date and time. Email submissions will not be accepted.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 14 days. Extensions are given in multiples of 24 hours.
Extensions are limited to 14 calendar days to ensure timely feedback to other students.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
End-of-Semester Exam
- In-person
- Mode
- Written
- Category
- Examination
- Weight
- 50%
- Due date
End of Semester Exam Period
2/11/2024 - 16/11/2024
Task description
The ECON7300 End-of-Semester Exam will be an on-campus, invigilated, closed-book (specified written materials permitted) exam covering Topics 1 to 5 and 10 to 12 (inclusive). The questions will be a mix of multiple-choice (MCQs), short answers, and problem-solving.
The exam will be centrally timetabled, scheduled during the end-of-semester examination period at a time and date to be confirmed.
You will be alerted to further information about the End-of-Semester Exam on the course Learn.UQ (Blackboard) site.
Exam details
| Planning time | 10 minutes |
|---|---|
| Duration | 120 minutes |
| Calculator options | (In person) Casio FX82 series only or UQ approved and labelled calculator |
| Open/closed book | Closed Book examination - specified written materials permitted |
| Exam platform | Paper based |
| Invigilation | Invigilated in person |
Submission guidelines
Deferral or extension
You may be able to defer this exam.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
| Grade | Cut off Percent | Description |
|---|---|---|
| 1 (Low Fail) | 0% - 29% |
Absence of evidence of achievement of course learning outcomes. |
| 2 (Fail) | 30% - 46% |
Minimal evidence of achievement of course learning outcomes. |
| 3 (Marginal Fail) | 47% - 49% |
Demonstrated evidence of developing achievement of course learning outcomes |
| 4 (Pass) | 50% - 64% |
Demonstrated evidence of functional achievement of course learning outcomes. |
| 5 (Credit) | 65% - 74% |
Demonstrated evidence of proficient achievement of course learning outcomes. |
| 6 (Distinction) | 75% - 84% |
Demonstrated evidence of advanced achievement of course learning outcomes. |
| 7 (High Distinction) | 85% - 100% |
Demonstrated evidence of exceptional achievement of course learning outcomes. |
Additional course grading information
A student’s final overall end of semester percentage mark will be rounded to determine their final grade. For example, 64.5% rounds to 65%, while 64.4% rounds to 64%.
Supplementary assessment
Supplementary assessment is available for this course.
Additional assessment information
Plagiarism
The School of Economics is committed to reducing the incidence of plagiarism. Further information on plagiarism and how to avoid an allegation of plagiarism is available in this course profile under Policies & Guidelines. Please refer to the Academic Integrity Module (AIM). It is strongly recommended that you complete the AIMﾠif you have not already done so.
Submission of Pre-Workshop Quizzes
All Pre-Workshop Quizzes must be completed and submitted electronically by the due date and time through the relevant test link,ﾠlocated in the Assessment > Pre-Workshop Quizzes section of the course Learn.UQ (Blackboard) site.
Submission of Project
The Project must be submitted electronically by the due date and time through the Turnitin submission link,ﾠlocated in the Assessment > Project section of the course Learn.UQ (Blackboard) site.
Learning resources
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources
Find the required and recommended resources for this course on the UQ Library website.
Other course materials
If we've listed something under further requirement, you'll need to provide your own.
Required
| Item | Description | Further Requirement |
|---|---|---|
| Mark L. Berenson, David M. Levine, Kathryn A. Szabat, Martin O'Brien, Nicola Jayne & Judith Watson, 2018. Basic Business Statistics: Concepts and Applications. 5th Ed. Pearson Australia. |
Recommended
| Item | Description | Further Requirement |
|---|---|---|
| Black, K., Asafu-Adjaye, J., Burke, P., Khan, N., King, G., Perera, N., Papadimos, A., Sherwood, C., Wasimi, S., & Verma, R. (2015). Australasian business statistics (4th ed.). John Wiley & Sons Australia. |
Additional learning resources information
All course content, including workshop slides and tutorial materials, will be made available to students through Learn.UQ (Blackboard). The Learn.UQ site further provides access to UQ Extend, a learning platform where studio-produced lecture videos, slide handouts, and other learning materials can be accessed.
Note: Workshop slides are not a substitute for the learning content on UQ Extend and the required readings specified in this course profile. Instead, workshops provide additional learning opportunities with workshop slides being a supplemental learning guide.
Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Please select
| Learning period | Activity type | Topic |
|---|---|---|
Week 1 |
Workshop |
Topic 1 Basic Probability |
Week 2 |
Practical |
Tutorial 1 Basic Probability |
Workshop |
Topic 2 Probability Distributions |
|
Week 3 |
Practical |
Tutorial 2 Probability Distributions |
Workshop |
Topic 3 Sampling Dist & Confidence Interval Estim. |
|
Week 4 |
Practical |
Tutorial 3 Sampling Distributions & Confidence Interval Estimation |
Workshop |
Topic 4 Hypothesis Testing: One-sample Tests |
|
No student involvement (Breaks, information) |
Wednesday -Public Holiday - EKKA No tutorials on this day. Please attend tutorials on other days of the week. |
|
Week 5 |
Practical |
Tutorial 4 Hypothesis Testing: One-sample Tests |
Workshop |
Topic 5 Hypothesis Testing: Two-sample Tests |
|
Week 6 |
Practical |
Tutorial 5 Hypothesis Testing: Two-sample Tests |
Workshop |
Topic 6 Analysis of Variance (ANOVA) |
|
Week 7 |
Practical |
Tutorial 6 Analysis of Variance (ANOVA) |
Workshop |
Topic 7 Simple Linear Regression |
|
Week 8 |
Practical |
Tutorial 7 Simple Linear Regression |
Workshop |
Topic 8 Multiple Linear Regression I |
|
Week 9 |
Practical |
Tutorial 8 Multiple Linear Regression I |
Workshop |
Topic 9 Multiple Linear Regression II |
|
Mid Sem break (23 Sep - 29 Sep) |
No student involvement (Breaks, information) |
No workshop or practicals |
Week 10 |
Practical |
Tutorial 9 Multiple Linear Regression II |
Workshop |
Topic 10 Time-series Forecasting I |
|
Week 11 |
Practical |
Tutorial 10 Time-series Forecasting I |
Workshop |
Topic 11 Time-series Forecasting II & Index Nos. |
|
No student involvement (Breaks, information) |
Monday - King's Birthday Public Holiday No tutorials on this day. Please attend tutorials on other days of the week. |
|
Week 12 |
Practical |
Tutorial 11 Time-series Forecasting II & Index Numbers |
Workshop |
Topic 12 Chi-square Test & Decision Analysis |
|
Week 13 |
Practical |
Tutorial 12 Chi-square Test & Decision Analysis |
Workshop |
Revision |
Policies and procedures
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments - Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.