CQUniversity Unit Profile
STAT20029 Statistics for Managerial Decisions
Statistics for Managerial Decisions
All details in this unit profile for STAT20029 have been officially approved by CQUniversity and represent a learning partnership between the University and you (our student).
The information will not be changed unless absolutely necessary and any change will be clearly indicated by an approved correction included in the profile.
General Information

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

Career Level: Postgraduate
Unit Level: Level 8
Credit Points: 6
Student Contribution Band: 7
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).

Offerings For Term 2 - 2020

Brisbane
Melbourne
Online
Sydney

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).

Class and Assessment Overview

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

Bundaberg, Cairns, Emerald, Gladstone, Mackay, Rockhampton, Townsville
Adelaide, Brisbane, Melbourne, Perth, Sydney

Assessment Overview

1. Online Quiz(zes)
Weighting: 20%
2. Written Assessment
Weighting: 20%
3. Take Home Exam
Weighting: 60%

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.

Previous Student Feedback

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 Student unit and teaching evaluation

Feedback

Students appreciated the teaching team and the challenging nature of statistics.

Recommendation

Continue to foster the current learning and teaching environment.

Unit Learning Outcomes
On successful completion of this unit, you will be able to:
  1. Analyse and work with data in a statistical framework
  2. Interpret data to make informed decisions
  3. Estimate the probabilities of various scenarios using statistics techniques
  4. Make statistical inferences based on sample observations
  5. Capture trends and make future projections
  6. Compare the implications of alternative strategies in terms of risks and expectations.
Alignment of Learning Outcomes, Assessment and Graduate Attributes
N/A Level
Introductory Level
Intermediate Level
Graduate Level
Professional Level
Advanced Level

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 - Take Home Exam - 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

Alignment of Assessment Tasks to Graduate Attributes

Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7
1 - Online Quiz(zes) - 20%
2 - Written Assessment - 20%
3 - Take Home Exam - 60%
Textbooks and Resources

Textbooks

Prescribed

Business Analytics and Statistics 1st (2019)

Authors: Ken Black et al.
Wiley
Milton Milton , Queensland , Australia
ISBN: 9780730363330
Binding: Paperback

Additional Textbook Information

If you prefer to study with a paper copy you can purchase at the CQUni Bookshop here: http://bookshop.cqu.edu.au (search on the Unit code). eBooks can be purchased at the publisher's website.

IT Resources

You will need access to the following IT resources:
  • CQUniversity Student Email
  • Internet
  • Unit Website (Moodle)
  • Microsoft Excel (or equivalent)
  • Access to printer and scanner for printing and scanning of take home exam
Referencing Style

All submissions for this unit must use the referencing style: Harvard (author-date)

For further information, see the Assessment Tasks.

Teaching Contacts
Santoso Wibowo Unit Coordinator
s.wibowo1@cqu.edu.au
Schedule
Week 1 Begin Date: 13 Jul 2020

Module/Topic

Introduction to Statistics

Chapter

Study Guide (SG) Module 1; Set Text (ST) Chapter 1

Events and Submissions/Topic

Week 2 Begin Date: 20 Jul 2020

Module/Topic

Presenting Data

Chapter

SG 2; ST Chapter 2, KaddStat is optional and will never be examined in this unit.

Events and Submissions/Topic

Week 3 Begin Date: 27 Jul 2020

Module/Topic

Numerical Descriptive Measures

Chapter

SG 3; ST Chapter 3

Events and Submissions/Topic

Fortnightly Quiz 1

Week 4 Begin Date: 03 Aug 2020

Module/Topic

Probability

Chapter

SG 4; ST Chapter 4

Events and Submissions/Topic

Week 5 Begin Date: 10 Aug 2020

Module/Topic

Discrete Distributions

Chapter

SG 5; ST Chapter 5

Events and Submissions/Topic

Fortnightly Quiz 2

Vacation Week Begin Date: 17 Aug 2020

Module/Topic

Chapter

Events and Submissions/Topic

Week 6 Begin Date: 24 Aug 2020

Module/Topic

Continuous Distributions

Chapter

SG 6; ST Chapter 6

Events and Submissions/Topic

Week 7 Begin Date: 31 Aug 2020

Module/Topic

Sampling Distributions

Chapter

SG 7; ST Chapter 7, Sampling has been covered earlier.

Events and Submissions/Topic

Fortnightly Quiz 3

Week 8 Begin Date: 07 Sep 2020

Module/Topic

Confidence interval estimation

Chapter

SG 8; ST Chapter 8 (exclude section 8.4 which is not in syllabus).

Events and Submissions/Topic

Week 9 Begin Date: 14 Sep 2020

Module/Topic

HypothesisTesting

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

Week 10 Begin Date: 21 Sep 2020

Module/Topic

Chi-square tests

Chapter

SG 10; ST Chapter 12

Events and Submissions/Topic

Submit Assignment 2

Assignment 2 is due on Friday (22 May 2020) at 11:45 pm AEST


Assignment 2 Due: Week 10 Friday (25 Sept 2020) 11:45 pm AEST
Week 11 Begin Date: 28 Sep 2020

Module/Topic

Linear regression

Chapter

SG 11; ST Chapter 13 but exclude 13.6 and 13.7

Events and Submissions/Topic

Fortnightly Quiz 5

Week 12 Begin Date: 05 Oct 2020

Module/Topic

Time series forecasting and index numbers

Chapter

SG 12; ST Chapter 15 but exclude 15.4

Events and Submissions/Topic

Review/Exam Week Begin Date: 12 Oct 2020

Module/Topic

Chapter

Events and Submissions/Topic

Exam Week Begin Date: 19 Oct 2020

Module/Topic

Chapter

Events and Submissions/Topic

Term Specific Information

Unit Coordinator:

Dr Santoso Wibowo

Email: s.wibowo1@cqu.edu.au

Assessment Tasks

1 Online Quiz(zes)

Assessment Title
Assignment 1

Task Description

In Assignment 1, there will be five online quizzes. They will be held in weeks 3, 5, 7, 9 and 11 and, will be available in WileyPlus. Link to appropriate WileyPlus website is only available through Moodle Unit Website. Each quiz will start at 8:00am on Monday of the week and will end on Sunday of that week at 11:00pm. 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.


Number of Quizzes

5


Frequency of Quizzes

Fortnightly


Assessment Due Date

Quizzes will be held in weeks 3, 5, 7, 9 and 11


Return Date to Students

Marks will be released immediately after each quiz


Weighting
20%

Assessment Criteria

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 procedure.


Referencing Style

Submission
Online

Submission Instructions
A maximum of 3 submissions for each question is allowed, but only the last submission will be considered for grading.

Learning Outcomes Assessed
  • Analyse and work with data in a statistical framework
  • Interpret data to make informed decisions


Graduate Attributes
  • Knowledge
  • Cognitive, technical and creative skills

2 Written Assessment

Assessment Title
Assignment 2

Task Description

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 can be typed or hand-written, but where output from Excel (or similar) is asked, you must use Excel (or similar). No marks will be given for graphs which are hand-drawn. Answers to all assignment 2 quesions 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. Hand written material can be scanned and Excel output can be copied and pasted in the single document.


Assessment Due Date

Week 10 Friday (25 Sept 2020) 11:45 pm AEST

All answers should be submitted online as a single file in .doc, .docx, .pdf or .rtf format only. No zipped file will be accepted. File size cannot exceed 100 MB


Return Date to Students

Week 12 Friday (9 Oct 2020)

In approximately two weeks after the deadline, you should be able to see feedback on your submission.


Weighting
20%

Assessment Criteria

Part marks will be given for conceptual understanding and correct procedures. Full marks cannot be obtained without proper description and working of the procedure.


Referencing Style

Submission
Online

Submission Instructions
All answers should be submitted online as a single file in .doc, .docx, .pdf or .rtf format only. No zipped file will be accepted. File size cannot exceed 100 MB

Learning Outcomes Assessed
  • 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.


Graduate Attributes
  • Knowledge
  • Communication
  • Cognitive, technical and creative skills
  • Research
  • Ethical and Professional Responsibility
  • Leadership

3 Take Home Exam

Assessment Title
Take Home Exam

Task Description

You will be able to access the take home exam paper from the Moodle website for STAT20029, under Assessment block. To complete this take home exam paper, you will need access to a printer and a scanner.

Completion of this take home exam paper is limited to a duration of 24 hours. This duration will allow you to:

  • print the
  • develop solutions o the posed questions
  • scan the solutions
  • upload and submit to the STAT20029 Moodle website

The 24 hour duration is a strict deadline. Submission of this take home exam paper will not be accepted once this deadline has passed.

Your submission is subject to additional verification in the form of oral defence through interview with the Unit Coordinator (or nominee). Students who are unable to satisfactorily answer questions about their submitted solution(s) will receive no marks for the question(s).

Further details on the availability and submission of the take home exam paper will be available on STAT20029 Moodle website.


Assessment Due Date

Take-home exam will be held during the Term-2 examination period. Specific date and time to be advised via Moodle.


Return Date to Students

Only the mark is released on certification of grades. The script itself is retained just like a standard exam.


Weighting
60%

Minimum mark or grade
You will need to score 24 marks or higher (40% of 60 marks allocated to this assignment) to pass this take home exam

Assessment Criteria

This assessment contains sixty (60) marks in total. You need to answer all questions in this assessment. 

Part marks will be given for conceptual understanding and correct procedures. Full marks cannot be obtained without proper description and working of the procedure.



Referencing Style

Submission
Online

Submission Instructions
All answers should be submitted online as a single file in .doc, .docx, .pdf or .rtf format only. No zipped file will be accepted. File size cannot exceed 100 MB

Learning Outcomes Assessed
  • Estimate the probabilities of various scenarios using statistics techniques
  • Make statistical inferences based on sample observations
  • Capture trends and make future projections


Graduate Attributes
  • Knowledge
  • Cognitive, technical and creative skills
  • Self-management

Academic Integrity Statement

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.

What can you do to act with integrity?