Course overview
- Study period
- Semester 1, 2025 (24/02/2025 - 21/06/2025)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 1
- Administrative campus
- St Lucia
- Coordinating unit
- Mathematics & Physics School
Statistical models & analyses required for analysing engineering & scientific data, including sampling methods, exploratory data analysis, standard probability models, estimation, hypothesis tests, regression, experimental design.
The course introduces statistical analyses of engineering data and covers exploratory data analyses, probability modelling with emphasis on the normal distribution,ﾠinterval estimation, tests of hypotheses, basic principles of experimental design, and linear regression modelling. All data analysis and visualisation is carried out in the Python programming language.
The models and methods introduced in STAT2201 are used in many areas of engineering. Wherever uncertainty in data arises, there is a need to develop models thatﾠincorporate that uncertainty, methods to fit and assess these models, and means of communicating the results.
In the School of Mathematics and Physics we are committed to creating an inclusive and empowering learning environment for all students. We value and respect the diverse range of experiences our students bring to their education, and we believe that this diversity is crucial for fostering a rich culture of knowledge sharing and meaningful exploration. We hold both students and staff accountable for actively contributing to the establishment of a respectful and supportive learning environment.
Bullying, harassment, and discrimination in any form are strictly against our principles and againstﾠUQ Policy,ﾠand will not be tolerated. We have developed aﾠsuite of resourcesﾠto assist you in recognising, reporting, and addressing such behaviour. If you have any concerns about your experience in this course, we encourage you to tell a member of the course teaching team, or alternatively contact an SMP Classroom Inclusivity Champion (see Blackboard for contact details). Our Inclusivity Champions are here to listen, to understand your concerns, and to explore potential actions that can be taken to resolve them. Your well-being and a positive learning atmosphere are of utmost importance to us.
Course requirements
Prerequisites
You'll need to complete the following courses before enrolling in this one:
MATH1050 or; a grade of C or higher in Queensland Year 12 Specialist Mathematics (Units 3 & 4) (or equivalent).
Incompatible
You can't enrol in this course if you've already completed the following:
ECON1310, ENVM2000, STAT1201, STAT1301 & STAT2203.
Course contact
Course staff
Lecturer
Tutor
Dr Hui Yao
Mr Isaac Beh
Mr Angus Scroggie
Timetable
The timetable for this course is available on the UQ Public Timetable.
Additional timetable information
All classes will be conducted on campus. Consult your personal timetable for times and locations.ﾠStudents are expected to attend these sessions in person unless they have a valid reason for being unable to attend (such as illness). Important: if you are ill, then do not attend any classes in person.
Thisﾠ course comprises three one-hour weekly lectures for 7ﾠweeks (Weeks 7ﾠ- 13) ﾠand a one-hourﾠpractical ﾠ(Weeks 8 - 13). See Learning Activities for the schedule.
Public holidays: There will be no activities on the Labour Day public holiday. Alternative arrangements for practicals will be made and communicated via Blackboard
Aims and outcomes
The aim of STAT2201 is to provide an understanding of the nature of engineering data and the subsequent need for statistical analysis. You will learn about the different types of data and how each can be visualized and summarized, and how you can make conclusions and predictions from the statistical analysis. You will also see that these statistical tools are based on simple mathematical ideas and associated assumptions. The importance of verifying where possible the assumptions that accompany data analysis will be demonstrated.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Identify appropriate methods for statistical analyses from a descriptive scenario.
LO2.
Demonstrate a foundational knowledge of statistical methods by carrying out simple statistical procedures by hand.
LO3.
Use statistical software appropriately and confidently for exploratory data analysis and to make relevant statistical conclusions.
LO4.
Effectively and appropriately communicate insights from data as evidence within an engineering context.
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Quiz |
Online Quizzes
|
18% |
17/04/2025 4:00 pm 2/05/2025 4:00 pm 9/05/2025 4:00 pm 16/05/2025 4:00 pm 23/05/2025 4:00 pm 30/05/2025 4:00 pm |
| Computer Code, Tutorial/ Problem Set | Problem Set | 22% |
23/05/2025 4:00 pm |
| Examination |
Final Examination
|
60% |
End of Semester Exam Period 7/06/2025 - 21/06/2025 |
A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.
Assessment details
Online Quizzes
- Online
- Mode
- Written
- Category
- Quiz
- Weight
- 18%
- Due date
17/04/2025 4:00 pm
2/05/2025 4:00 pm
9/05/2025 4:00 pm
16/05/2025 4:00 pm
23/05/2025 4:00 pm
30/05/2025 4:00 pm
Task description
In each week (Weeks 8 - 13) there will be a quiz to complete online. The quiz will open at 9:00am on Monday and must be completed by the due date. There is no set duration for the quizzes. Most quizzes will involve analysing data using Python. This will be an important opportunity to learn how to perform data analysis with Python. You are encouraged to discuss issues using the Ed Discussion Board.
Submission guidelines
The quizzes are accessed via Blackboard. An unlimited number of attempts is allowed for each quiz question. Questions are marked automatically. There is no separate submission procedure.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
See ADDITIONAL ASSESSMENT INFORMATION for further extension/deferral information relating to this assessment item.
Late submission
You will receive a mark of 0 if this assessment is submitted late.
You will only receive marks for Quiz questions completed by the submission deadline, unless an extension has been approved.
Problem Set
- Mode
- Written
- Category
- Computer Code, Tutorial/ Problem Set
- Weight
- 22%
- Due date
23/05/2025 4:00 pm
Task description
Assignment involving problem solving, analysis, visualisation and interpretation.
Submission guidelines
Submit this assessment item through the link in Blackboard.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.
Solutions for the Assignment will be released 8 days after the Assignment is due and as such, submission after this date will not be possible.
See ADDITIONAL ASSESSMENT INFORMATION for the extension and deferred examination information relating to this assessment item.
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.
You are required to submit assessable items on time. If you fail to meet the submission deadline for any assessment item then the listed penalty will be deducted per day for up to 7 calendar days, at which point any submission will not receive any marks unless an extension has been approved. Each 24-hour block is recorded from the time the submission is due.
Final Examination
- Hurdle
- Identity Verified
- In-person
- Mode
- Written
- Category
- Examination
- Weight
- 60%
- Due date
End of Semester Exam Period
7/06/2025 - 21/06/2025
Task description
The final examination in this course will be held during the end-of-semester examination period. It will be an invigilated in-person exam held on campus. The final examination will cover all the material in the course.
Hurdle requirements
See COURSE GRADING INFORMATION for the hurdle relating to this assessment item.Exam details
| Planning time | 10 minutes |
|---|---|
| Duration | 60 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 |
| Materials | One A4 sheet of handwritten notes , single sided, is permitted Students are permitted to bring one A4 sheet of handwritten notes single sided. Scanned / Photocopied / Printed notes are not permitted. The exam paper will come with a formula sheet and statistical tables. |
| Exam platform | Paper based |
| Invigilation | Invigilated in person |
Submission guidelines
Deferral or extension
You may be able to defer this exam.
See ADDITIONAL ASSESSMENT INFORMATION for further extension/deferral information relating to this assessment item.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
| Grade | Description |
|---|---|
| 1 (Low Fail) |
Absence of evidence of achievement of course learning outcomes. Course grade description: To receive a grade of 1 you will have achieved a final mark less than 20%. |
| 2 (Fail) |
Minimal evidence of achievement of course learning outcomes. Course grade description: To receive a grade of 2 you will have achieved a final mark between 20% and 44% (inclusive). |
| 3 (Marginal Fail) |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: To receive a grade of 3 you will either (a) have achieved a final mark between 45% and 49% (inclusive); OR (b) have achieved a final mark of 50% or more BUT obtained less than 40% of the marks on the final exam. |
| 4 (Pass) |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: To receive a grade of 4 you will have achieved a final mark between 50% and 64% (inclusive) AND have obtained at least 40% of the marks on the final exam. |
| 5 (Credit) |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: To receive a grade of 5 you will have achieved a final mark between 65% and 74% (inclusive). |
| 6 (Distinction) |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: To receive a grade of 6 you will have achieved a final mark between 75% and 84% (inclusive). |
| 7 (High Distinction) |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: To receive a grade of 7 you will have achieved a final mark of at least 85%. |
Additional course grading information
If you receive less than 40% of the available marks on the Final Examination then the maximum grade you can obtain is 3.
Supplementary assessment
Supplementary assessment is available for this course.
Should you fail a course with a grade of 3, you may be eligible for supplementary assessment. Refer to my.UQ for information on supplementary assessment and how to apply.
Supplementary assessment provides an additional opportunity to demonstrate you have achieved all the required learning outcomes for a course.
If you apply and are granted supplementary assessment, the type of supplementary assessment set will consider which learning outcome(s) have not been met.
If a student achieved 50% or more on the final exam but is still required to undertake supplementary assessment, then the supplementary assessment will take the form of an assignment. The assignment will be similar in length to the in-semester assignment covering topics from the entire course. In all other cases, the supplementary assessment will be a 1-hour exam similar in style to the end-of-semester exam.
A student must obtain at least 50% in the supplementary assessment to be granted a passing grade in the course.
Additional assessment information
Artificial Intelligence
Assessment tasks in this course evaluate students' abilities, skills and knowledge without the aid of generative Artificial Intelligence (AI) or Machine Translation (MT). Students are advised that the use of AI or MT technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Applications for Extensions to Assessment Due Dates
Extension requests are submitted online via my.UQ – applying for an extension. Extension requests received in any other way will not be approved. Additional details associated with extension requests, including acceptable and unacceptable reasons, may be found at my.UQ.
Please note:
- Requests for an extension to an assessment due date must be submitted through your my.UQ portal and you must provide documentation of your circumstances, as soon as it becomes evident that an extension is needed. Your application must be submitted on or before the assessment item's due date and time.
- Applications for extension can take time to be processed so you should continue to work on your assessment item while awaiting a decision. We recommend that you submit any completed work by the due date, and this will be marked if your application is not approved. Should your application be approved, then you will be able to resubmit by the agreed revised due date.
- If an extension is approved, you will be notified via your my.UQ portal and the new date and time for submission provided. It is important that you check the revised date as it may differ from the date that you requested.
- If the basis of the application is a medical condition, applications should be accompanied by a medical certificate dated prior to the assignment due date. If you are unable to provide documentation to support your application by the due date and time you must still submit your application on time and attach a written statement (Word document) outlining why you cannot provide the documentation. You must then upload the documentation to the portal within 24 hours.
- If an extension is being sought on the basis of exceptional circumstances, it must be accompanied by supporting documentation (eg. Statutory declaration). For extensions based on a SAP you may be granted a maximum of 7 days (if no earlier maximum timeframe applies). See the Extension or Deferral availability section of each assessment for details. Your SAP is all that is required as documentation to support your application. However, additional extension requests for the assessment item will require the submission of additional supporting documentation e.g., a medical certificate. All extension requests must be received by the assessment due date and time.
- An extension for an assessment item due within the teaching period in which the course is offered, must not exceed four weeks in total. If you are incapacitated for a period exceeding four weeks of the teaching period, you are advised to apply for Removal of Course. If you have been ill or unable to attend class for more than 14 days, you are advised to carefully consider whether you are capable of successfully completing your courses this semester. You might be eligible to withdraw without academic penalty - seek advice from the Faculty that administers your program.
- Students may be asked to submit evidence of work completed to date. Lack of adequate progress on your assessment item may result in an extension being denied. There are no provisions for exemption from an assessment item within UQ rules. If you are unable to submit an assessment piece then, under special circumstances, you may be granted an exemption, but may be required to submit alternative assessment to ensure all learning outcomes are met.
Applications to defer an exam
In certain circumstances you can apply to take a deferred examination for in-semester and end of semester exams. You'll need to demonstrate through supporting documentation how unavoidable circumstances prevented you from sitting your exam. If you can’t, you can apply for a one-off discretionary deferred exam. Deferred Exam requests are submitted online via mySi-net. Requests received in any other way will not be approved. Additional details associated with deferred examinations, including acceptable and unacceptable reasons may be found at my.UQ.
Please note:
- Applications can be submitted no later than 5 calendar days after the date of the original exam.
- There are no provisions to defer a deferred exam. You need to be available to sit your deferred examination.
- Your deferred examination request(s) must have a status of "submitted" in mySI-net to be assessed.
- All applications for deferred in-semester examinations are assessed by the relevant school. Applications for deferred end-of-semester examinations are assessed by the Academic Services Division.
- You’ll receive an email to your student email account when the status of your application is updated.
- If you have a medical condition, mental health condition or disability and require alternative arrangements for your deferred exam you’ll need to complete the online alternative exam arrangements through my.UQ. This is in addition to your deferred examinations request. You need to submit this request on the same day as your request for a deferred exam or supplementary assessment. Contact Student Services if you need assistance completing your alternative exam arrangements request.
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.
Additional learning resources information
The course notes for STAT2201 will be available on Blackboard. Those notes contain examples that we will work through during the lectures. You are strongly encouraged to print out the course notes and bring these to class.
We will use Ed Discussion for course Q&A. The link is available on Blackboard.
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 7 (07 Apr - 13 Apr) |
Lecture |
Unit 1 Visualise, summarise and organise data |
Week 8 (14 Apr - 20 Apr) |
Lecture |
Unit 2 Random variables and expectations |
Practical |
Practical 1 |
|
Week 9 (28 Apr - 04 May) |
Lecture |
Unit 3 Distribution of the sample mean |
Practical |
Practical 2 |
|
Week 10 (05 May - 11 May) |
Lecture |
Unit 4 Inference for a single mean |
Practical |
Practical 3 |
|
Week 11 (12 May - 18 May) |
Lecture |
Unit 5 Comparing two means |
Practical |
Practical 4 |
|
Week 12 (19 May - 25 May) |
Lecture |
Unit 6 Linear regression modelling |
Practical |
Practical 5 |
|
Week 13 (26 May - 01 Jun) |
Lecture |
Unit 6 & Revision Linear regression modelling & exam revision |
Practical |
Practical 6 |
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.