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 3 - 2019

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. Examination
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 Abridged from student feedback.

Feedback

This is a very useful unit for my future career.

Recommendation

Authentic examples will continue to be introduced so that students can see the relevance of each topic.

Feedback from Abridged from student feedback.

Feedback

More practical problems should be solved in class.

Recommendation

Many problems are solved in the tutorial classes. Due to time restrictions, more problems cannot be given.

Feedback from Abridged from student feedback.

Feedback

More diversity would be helpful since students come from various backgrounds.

Recommendation

More examples can be brought in from different countries when available and relevant.

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 - 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

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 - Examination - 60%
Textbooks and Resources

Textbooks

Prescribed

Business Analytics and Statistics 1st (2019)

Authors: Black et al.
Wiley
ISBN: 9780730363330
Binding: Paperback

IT Resources

You will need access to the following IT resources:
  • CQUniversity Student Email
  • Internet
  • Unit Website (Moodle)
  • Microsoft Excel (or equivalent)
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: 11 Nov 2019

Module/Topic

Introduction to Statistics

Chapter

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

Events and Submissions/Topic

Week 2 Begin Date: 18 Nov 2019

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: 25 Nov 2019

Module/Topic

Numerical Descriptive Measures

Chapter

SG 3; ST Chapter 3

Events and Submissions/Topic

Fortnightly Quiz 1

Week 4 Begin Date: 02 Dec 2019

Module/Topic

Probability

Chapter

SG 4; ST Chapter 4

Events and Submissions/Topic

Vacation Week Begin Date: 09 Dec 2019

Module/Topic

Chapter

Events and Submissions/Topic

Week 5 Begin Date: 16 Dec 2019

Module/Topic

Discrete Distributions

Chapter

SG 5; ST Chapter 5

Events and Submissions/Topic

Fortnightly Quiz 2

Week 6 Begin Date: 23 Dec 2019

Module/Topic

Continuous Distributions

Chapter

SG 6; ST Chapter 6

Events and Submissions/Topic

Week 7 Begin Date: 06 Jan 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: 13 Jan 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: 20 Jan 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: 27 Jan 2020

Module/Topic

Chi-square tests

Chapter

SG 10; ST Chapter 12

Events and Submissions/Topic

Submit Assignment 2


Assignment 2 Due: Week 10 Friday (31 Jan 2020) 11:45 pm AEST
Week 11 Begin Date: 03 Feb 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: 10 Feb 2020

Module/Topic

Time series forecasting and index numbers

Chapter

SG 12; ST Chapter 15 but exclude 15.4

Events and Submissions/Topic

Exam Week Begin Date: 17 Feb 2020

Module/Topic

Chapter

Events and Submissions/Topic

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 on Monday of the week and will end on Saturday of that week. 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

Return Date to Students

Weighting
20%

Assessment Criteria

Only correct answers will get full marks. There is no mark for procedure.


Referencing Style

Submission
Online

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 (31 Jan 2020) 11:45 pm AEST


Return Date to Students

Week 12 Friday (14 Feb 2020)


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 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

Examination

Outline
Complete an invigilated examination

Date
During the examination period, at a CQUniversity examination centre

Weighting
60%

Length
180 minutes

Minimum mark or grade
40% (Minimum 24 out of 60 marks)

Details
Dictionary - non-electronic, concise, direct translation only (dictionary must not contain any notes or comments).
Calculator - all non-communicable calculators, including scientific, programmable and graphics calculators are authorised
Open Book
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?