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Course profile

Advanced Analysis of Scientific Data (STAT1301)

Study period
Sem 2 2024
Location
St Lucia
Attendance mode
In Person

Course overview

Study period
Semester 2, 2024 (22/07/2024 - 18/11/2024)
Study level
Undergraduate
Location
St Lucia
Attendance mode
In Person
Units
2
Administrative campus
St Lucia
Coordinating unit
Mathematics & Physics School

This course introduces students to the mathematical and computational aspects of statistical modeling. Emphasis is placed on a precise understanding of randomness and probability distributions, and statistical methods such as estimation, hypothesis testing, analysis of variance, regression and linear models, logistic regression, categorical data analysis and non-parametric methods. The course also covers exploratory data analysis, the design of experiments and ethical research, as well as the importance of critical thinking and communication in the interpretation of results.

STAT1301 is an advanced version of STAT1201, meant for first-year students who would like to more fully understand the mathematical reasoning, critical thinking and computational techniques involved in probability and statistics. Each week students will attend lectures, as well as a Tutorial (starting in week 2). Emphasis will be placed on fundamental topics such as sampling, probability and statistical models, probability distributions, estimation, hypothesis testing, analysis of variance, regression, linear models, and statistical computation. The tutorial and assignment questions are designed to apply and test these concepts, provide students with feedback and help with preparation towards the exam.

  1. A comprehensive set of Lecture Notes form the primary learning resource. Students are expected to read specific parts of the Lecture Notes before attending the lectures.
  2. During the weekly Tutorials, students work on a set of statistical problems with guidance from a tutor.
  3. Students will also have assignments and a project to complete during the semester.
  4. Computational statistical analyses will be conducted in R. Students need to install R and RStudio on their computer.


Course requirements

Assumed background

Mathematics equivalent to Queensland Specialist Mathematics or MATH1050ᅠwould be helpful in places (e.g. matrices and vectors to understand generalᅠformulations of linear models).

Prerequisites

You'll need to complete the following courses before enrolling in this one:

MATH1040; or a grade of C or higher in Queensland Mathematical Methods (Units 3 & 4) (or equivalent).

Incompatible

You can't enrol in this course if you've already completed the following:

ECON1310, ENVM2000, STAT1201, STAT2201, STAT2203, STAT2701, PUBH2007, HRSS3100, STAT7120.

Restrictions

Not available to BE, BE/Biotech, BE/BSc students

Course contact

Course staff

Lecturer

Tutor

Mr Nhat Pham
Mr Yutong Ji
Mr Declan Fletcher
Mr Cooper Janke
Mr Weiming Liang
Mr Jay Parfitt

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. You should sign up for a Tutorial classᅠ as soon as possible. Tutorials start in Week 2. Students 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. Alternative arrangements can be organised – consult Blackboard for details.

There will be no activities on the Ekka Show day public holiday. Alternative arrangements will be made and communicated via Blackboard.

Aims and outcomes

The aim of STAT1301 is to provide an understanding of the nature of scientific data and the subsequent need for statistical analysis. You will develop your statistical expertise and critical judgement in scientific studies, including an awareness of ethical issues in research and 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.

Learning outcomes

After successfully completing this course you should be able to:

LO1.

Explain the nature of scientific data and the need for statistical analysis.

LO2.

Identify factors related to the design of a scientific study, including sample size and power.

LO3.

Identify and critically evaluate the role of data analysis and statistics in scientific research and publications.

LO4.

Identify and critically evaluate ethical issues in scientific research.

LO5.

Demonstrate a foundational knowledge of statistical methods by being able to carry out simple statistical procedures by hand.

LO6.

Use statistical software appropriately and confidently for exploratory data analysis and to make relevant statistical conclusions.

LO7.

Effectively and appropriately communicate insights from data as evidence within a given context for both a professional and lay audience.

Assessment

Assessment summary

Category Assessment task Weight Due date
Tutorial/ Problem Set Assignments 25%

Assignment 1: 5/08/2024 3:00 pm

Assignment 2: 19/08/2024 3:00 pm

Assignment 3: 2/09/2024 3:00 pm

Assignment 4: 8/10/2024 3:00 pm

Assignment 5: 25/10/2024 3:00 pm

Essay/ Critique Ethics Assignment 10%

16/09/2024 3:00 pm

Project Research Project 15%

21/10/2024 3:00 pm

Examination Final Examination 50%

End of Semester Exam Period

2/11/2024 - 16/11/2024

Assessment details

Assignments

Mode
Written
Category
Tutorial/ Problem Set
Weight
25%
Due date

Assignment 1: 5/08/2024 3:00 pm

Assignment 2: 19/08/2024 3:00 pm

Assignment 3: 2/09/2024 3:00 pm

Assignment 4: 8/10/2024 3:00 pm

Assignment 5: 25/10/2024 3:00 pm

Learning outcomes
L01, L02, L03, L05, L06

Task description

The set of assignments will involve questions that assess your ability to determine probabilities, summarise data, perform statistical analyses, and draw valid inferences. Assignments are equally weighted.

Submission guidelines

Complete via 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 assessment item/s will be released soon after the 7 days the assessment is due and as such, an extension after 7 days 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.

Ethics Assignment

Mode
Written
Category
Essay/ Critique
Weight
10%
Due date

16/09/2024 3:00 pm

Learning outcomes
L01, L03, L04, L07

Task description

The Ethics Assignment involves finding, from any media source, a real-life case involving the collection of data. You will need to write a 500 word philosophical review about the most interesting or pressing ethical matters raised in the case. There is also an option to complete this assessment in a group of two. Please see Blackboard for further details.

Submission guidelines

Complete via 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 assessment item/s will be released soon after the 7 days the assessment is due and as such, an extension after 7 days 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.

Research Project

Mode
Written
Category
Project
Weight
15%
Due date

21/10/2024 3:00 pm

Learning outcomes
L01, L02, L03, L05, L06, L07

Task description

As part of the Research Project you will study a population of virtual subjects to collect data, and then analyse the results and present them in the form of a condensed scientific report.

Submission guidelines

Submit via 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 assessment item/s will be released soon after the 7 days the assessment is due and as such, an extension after 7 days 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

Mode
Written
Category
Examination
Weight
50%
Due date

End of Semester Exam Period

2/11/2024 - 16/11/2024

Learning outcomes
L01, L02, L03, L05, L07

Task description

The final examination in this course will be held during the end-of-semester examination period. It will be an in-person exam held on campus. 

The two-hour final examination will cover all the statistical material in the course. The exam paper will come with a formula sheet and statistical tables.

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 - no written materials permitted
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 extension and deferred examination 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, a student must achieve an overall mark of less than 20%.

2 (Fail)

Minimal evidence of achievement of course learning outcomes.

Course grade description: To receive a grade of 2, a student must achieve an overall mark of at least 20%, and not meet the requirements for a higher grade.

3 (Marginal Fail)

Demonstrated evidence of developing achievement of course learning outcomes

Course grade description: To receive a grade of 3, a student must achieve an overall mark of at least 45% and a mark of at least 35% on the final exam, and not meet the requirements for a higher grade.

4 (Pass)

Demonstrated evidence of functional achievement of course learning outcomes.

Course grade description: To receive a grade of 4, a student must achieve an overall mark of at least 50% and a mark of at least 40% on the final exam, and not meet the requirements for a higher grade.

5 (Credit)

Demonstrated evidence of proficient achievement of course learning outcomes.

Course grade description: To receive a grade of 5, a student must achieve an overall mark of at least 65% and a mark of at least 40% on the final exam, and not meet the requirements for a higher grade.

6 (Distinction)

Demonstrated evidence of advanced achievement of course learning outcomes.

Course grade description: To receive a grade of 6, a student must achieve an overall mark of at least 75%, and not meet the requirements for a higher grade.

7 (High Distinction)

Demonstrated evidence of exceptional achievement of course learning outcomes.

Course grade description: To receive a grade of 7, a student must achieve an overall mark of at least 85%.

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.  

Supplementary assessment in this course will be a 2-hour examination similar in style to the end-of-semester examination. To receive a passing grade of 3S4, you must obtain a mark of 50% or more on the supplementary assessment. 

Additional assessment information

You are welcome to complete the Research Project in a group of up to two students if you wish. Use the tool on Blackboard (under Assessment) if you want to form a group. The group formation tool for the Research Project will become available (so you can choose to form a group, if needed) prior to the due date of the Research Project. Please keep in mind the following three rules:

  1. You can only join one group for the Research Project and once you have joined a group you will not be able to leave it.
  2. The first group member must approve a new person joining the group.
  3. Both group members will receive the same mark for the Research Project.

Artificial Intelligence

The assessment tasks in this course evaluate students’ abilities, skills and knowledge without the aid of Artificial Intelligence (AI). Students are advised that the use of AI technologies to develop responses is strictly prohibited and may constitute 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

All Announcements, Assessments, and Learning Resources will be communicated via the STAT1301 Blackboard site.

Learning activities

The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.

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Learning period Activity type Topic
Multiple weeks

From Week 1 To Week 13

Lecture

Lectures

Learning outcomes: L01, L02, L03, L04, L05, L06, L07

Multiple weeks

From Week 2 To Week 13

Tutorial

Tutorials

Learning outcomes: L01, L02, L03, L04, L05, L06, L07

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:

Learn more about UQ policies on my.UQ and the Policy and Procedure Library.