Unit Synopsis
In this unit you will examine statistics, with particular focus on applications to managerial decision making. You will use statistics techniques to make informed decisions in uncertain environments within the fields of business and accounting. You will analyse and interpret data, trends and patterns as well as make inferences and use probability theory to estimate risks. Other important topics of this unit include probability and forecasting.
Details
| Level | Postgraduate |
|---|---|
| Unit Level | 8 |
| Credit Points | 6 |
| Student Contribution Band | SCA Band 1 |
| Fraction of Full-Time Student Load | 0.125 |
| Pre-requisites or Co-requisites |
Anti-requisite: STAT20028. Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework). |
| Class Timetable | View Unit Timetable |
| Residential School | No Residential School |
Unit Availabilities from Term 2 - 2026
Attendance Requirements
All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).
Recommended Student Time Commitment
Each 6-credit Postgraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.
Assessment Tasks
| Assessment Task | Weighting |
|---|---|
| 1. Online Quiz(zes) | 20% |
| 2. Written Assessment | 20% |
| 3. Examination | 60% |
This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%).
Past Exams
All University policies are available on the Policy web site, however you may wish to directly view the following policies below.
This list is not an exhaustive list of all University policies. The full list of policies are available on the Policy web site.
Feedback, Recommendations and Responses
Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.
Source: Teaching team, Discipline Leader
There is a small number of quiz questions which means there is limited opportunity for students to practice the same concepts across multiple questions.
Increase number of questions in question bank, especially adding variants (e.g., different case study or data set) for each concept covered.
Additional variant questions were added to support repeated practice of key statistical concepts. Kahoot-style revision questions and Zoom poll questions were also used to provide short formative checks during teaching sessions. These activities gave students more opportunities to practise similar concepts across different question formats and receive immediate feedback on their understanding.
Source: Teaching team, Discipline Leader
While students are able to perform the necessary statistical calculations, some students find it difficult to develop an intuitive understanding of the concepts based on the calculations.
Create resources that allow students to visualise the operation of statistical methods on different data sets.
Visual teaching resources were developed and embedded into lectures and tutorials to support students’ conceptual understanding of statistical methods. Worked examples, visual explanations, and applied, data-based demonstrations were used to help students connect calculations to interpretation. Student responses during consultations and teaching activities indicated improved understanding of topics such as hypothesis testing and the interpretation of confidence intervals.
Source: Student evaluation data and teaching team reflection
Student evaluations and teaching team reflections indicate that some students would benefit from clearer weekly guidance to help them navigate Moodle resources, weekly learning activities, and expected preparation.
Strengthen weekly Moodle guidance by providing a short weekly overview, clearer instructions for learning activities, and a simple checklist of what students should complete before and after each class.
In Progress
Source: Student evaluation data and teaching team reflection
To further support student learning, more real-world examples should be included in learning materials
Use applied business datasets and Excel-based examples to provide additional resources that demonstrate how to interpret statistical results and not just perform calculations.
In Progress
On successful completion of this unit, you will be able to:
- Analyse and work with data in a statistical framework
- Interpret data to make informed decisions
- Estimate the probabilities of various scenarios using statistics techniques
- Make statistical inferences based on sample observations
- Capture trends and make future projections
- Compare the implications of alternative strategies in terms of risks and expectations.
| Assessment Tasks | Learning Outcomes | |||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | |
| 1 - Online Quiz(zes) | • | • | ||||
| 2 - Written Assessment | • | • | • | • | • | • |
| 3 - Examination | • | • | • | |||
| Graduate Attributes | Learning Outcomes | |||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | |
| 1 - Knowledge | • | • | • | • | • | • |
| 2 - Communication | • | • | • | |||
| 3 - Cognitive, technical and creative skills | • | • | • | • | ||
| 4 - Research | • | • | • | |||
| 5 - Self-management | • | |||||
| 6 - Ethical and Professional Responsibility | • | |||||
| 7 - Leadership | • | |||||
| Assessment Tasks | Graduate Attributes | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 8 | |
| 1 - Online Quiz(zes) | • | • | • | ||||||
| 2 - Written Assessment | • | • | • | • | • | • | • | ||
| 3 - Examination | • | • | • | ||||||