Overview
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
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).
Offerings For Term 3 - 2024
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.
Class Timetable
Assessment Overview
Assessment Grading
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%). Consult the University's Grades and Results Policy for more details of interim results and final grades.
All University policies are available on the CQUniversity Policy site.
You may wish to view these policies:
- Grades and Results Policy
- Assessment Policy and Procedure (Higher Education Coursework)
- Review of Grade Procedure
- Student Academic Integrity Policy and Procedure
- Monitoring Academic Progress (MAP) Policy and Procedure - Domestic Students
- Monitoring Academic Progress (MAP) Policy and Procedure - International Students
- Student Refund and Credit Balance Policy and Procedure
- Student Feedback - Compliments and Complaints Policy and Procedure
- Information and Communications Technology Acceptable Use Policy and Procedure
This list is not an exhaustive list of all University policies. The full list of University policies are available on the CQUniversity Policy 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.
Feedback from Unit Coordinator reflection
Lecture materials will continue to be streamlined for improved clarity of the unit concepts
Include revision quizzes so that the students are clear with the concepts
Feedback from Unit Coordinator reflection
Assessment 2 requires use of Microsoft Excel calculations and graphs, but some students struggle with Microsoft Excel
Increase the practical use of Microsoft Excel in tutorials, with more examples related to assessment
- 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.
Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks | Learning Outcomes | |||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | |
1 - Online Quiz(zes) - 20% | ||||||
2 - Written Assessment - 20% | ||||||
3 - Examination - 60% |
Alignment of Graduate Attributes to Learning Outcomes
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 | ||||||
8 - Aboriginal and Torres Strait Islander Cultures |
Alignment of Assessment Tasks to Graduate Attributes
Assessment Tasks | Graduate Attributes | |||||||
---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
1 - Online Quiz(zes) - 20% | ||||||||
2 - Written Assessment - 20% | ||||||||
3 - Examination - 60% |
Textbooks
Business Analytics and Statistics
Edition: 1st (2019)
Authors: Ken Black et al.
Wiley
Milton Milton , Queensland , Australia
ISBN: 9780730363330
IT Resources
- CQUniversity Student Email
- Internet
- Unit Website (Moodle)
- Microsoft Excel (or equivalent)
- Zoom access
- • Access to a document scanner and/or pdf converter (all assessments submitted electronically as pdf files)
- • Access to a printer (for printing assessment and tutorial materials)
- • Access to a webcam, speaker and microphone or a headset. (To participate in Zoom lectures and tutorials.)
All submissions for this unit must use the referencing style: Harvard (author-date)
For further information, see the Assessment Tasks.
s.wibowo1@cqu.edu.au
Module/Topic
Introduction to Statistics
Chapter
Study Guide (SG) Module 1; Set Text (ST) Chapter 1
Events and Submissions/Topic
Module/Topic
Presenting Data
Chapter
SG 2; ST Chapter 2, KaddStat is optional and will not be examined in this unit.
Events and Submissions/Topic
Module/Topic
Numerical Descriptive Measures
Chapter
SG 3; ST Chapter 3
Events and Submissions/Topic
Fortnightly Quiz 1
Module/Topic
Probability
Chapter
SG 4; ST Chapter 4
Events and Submissions/Topic
Module/Topic
Discrete Distributions
Chapter
SG 5; ST Chapter 5
Events and Submissions/Topic
Fortnightly Quiz 2
Module/Topic
Continuous Distributions
Chapter
SG 6; ST Chapter 6
Events and Submissions/Topic
Module/Topic
Sampling Distributions
Chapter
SG 7; ST Chapter 7, Sampling has been covered earlier.
Events and Submissions/Topic
Fortnightly Quiz 3
Module/Topic
Chapter
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
Module/Topic
Confidence interval estimation
Chapter
SG 8; ST Chapter 8 (exclude section 8.4 which is not in syllabus).
Events and Submissions/Topic
Module/Topic
Hypothesis Testing
Chapter
SG 9; ST Chapter 9 (exclude sections 9.6 and 9.7) and Chapter 10 (exclude section 10.5)
Events and Submissions/Topic
Fortnightly Quiz 4
Module/Topic
Chi-square tests
Chapter
SG 10; ST Chapter 12
Events and Submissions/Topic
Module/Topic
Linear regression
Chapter
SG 11; ST Chapter 13 but exclude 13.6 and 13.7
Events and Submissions/Topic
Fortnightly Quiz 5
Module/Topic
Time series forecasting and index numbers
Chapter
SG 12; ST Chapter 15 but exclude 15.4
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
1 Online Quiz(zes)
There will be five online quizzes. These will be held in weeks 3, 5, 7, 9 and 11 and will be available on Moodle Unit Website. Each quiz will start at 8:00 am (AEST) on Monday of the week and will end on Sunday of that week at 11:00 pm (AEST). No extension of the deadline is possible under any circumstances. Each quiz is worth 4 marks and there will be eight questions in each quiz. A maximum of 3 attempts will be allowed for each question, and there is no penalty for multiple attempts.
5
Fortnightly
Quizzes will be held in weeks 3, 5, 7, 9 and 11
Marks will be released immediately after each quiz
Each quiz is worth 4 marks and there will be eight questions in each quiz. A maximum of 3 attempts will be allowed for each question, and there is no penalty for multiple attempts.
Only correct answers will get full marks. There is no mark for the procedure.
- Analyse and work with data in a statistical framework
- Interpret data to make informed decisions
- Knowledge
- Cognitive, technical and creative skills
- Self-management
2 Written Assessment
This is a written assessment task. There will be five questions and you are required to provide written answers to all those questions. The answers must be typed, and where output from Excel (or similar) is asked, you must use Excel (or similar). No marks will be given for answers and graphs which are hand-drawn. Answers to all assignment questions must be submitted as a single file in .doc, .docx, .pdf or .rtf format only and the total file size cannot exceed 100 MB. Files submitted in zipped form or any other format will not be accepted. Excel output can be copied and pasted in the single document.
Week 10 Friday (24 Jan 2025) 11:45 pm AEST
Assignment must be submitted through Moodle website.
Week 12 Friday (7 Feb 2025)
Part marks will be given for conceptual understanding and correct procedures. Full marks cannot be obtained without proper description and working of the procedure.
- 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.
- Knowledge
- Communication
- Cognitive, technical and creative skills
- Research
- Self-management
- Ethical and Professional Responsibility
- Leadership
Examination
Calculator - all non-communicable calculators, including scientific, programmable and graphics calculators are authorised
As a CQUniversity student you are expected to act honestly in all aspects of your academic work.
Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.
When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.
Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.
As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.
What is a breach of academic integrity?
A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.
Why is academic integrity important?
A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.
Where can I get assistance?
For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.