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

This unit will examine statistics, with particular focus on applications to managerial decision making. It aims to equip students in the field of business and accounting with the statistical tools needed to make informed decisions in uncertain environments. Concepts and practical tools on how to interpret data, trends and patterns as well as estimation of risks and probabilities and, making inferences will be coverd. Topics include exploratory data analysis, probability, statistical inference and forecasting. If you have successfully completed the unit STAT20028 you should not enrol in this unit.

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

There are no requisites for this unit.

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 - 2017

Brisbane
Distance
Melbourne
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 of many students.

Feedback

Perfect unit for accounting students. The unit taught me a lot of new and useful things. Unit structure is brilliant, no improvement necessary.

Recommendation

Accounting students are kept in mind while making any changes in the unit. Assignment tasks are based on real world (authentic) problems to provide students exposure to the practical world. It is intended to retain the current unit structure.

Feedback from Abridged from student feedback.

Feedback

There are quite a few errors in the solutions manual provided by the publisher.

Recommendation

The publisher has been informed of the mistakes found so far. They will be informed if more mistakes are found in the future. The students are made aware of any mistake as soon as it is discovered.

Feedback from Abridged from student feedback.

Feedback

Use of whiteboards in addition to PowerPoint slides would be more helpful.

Recommendation

Whiteboards to be used in classes in addition to overhead projectors.

Unit Learning Outcomes
On successful completion of this unit, you will be able to:
  1. Analyze and work with data in a statistical framework
  2. Interpret data to gather more information about the process
  3. Estimate the probabilities of various scenarios and possibilities using popular tools
  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

Australasian Business Statistics 4th edn (2016)

Authors: Black, K. et al.
John Wiley & Sons Australia
Milton Milton , Qld , Australia
ISBN: 9780730312932
Binding: Paperback

IT Resources

You will need access to the following IT resources:
  • CQUniversity Student Email
  • Internet
  • Unit Website (Moodle)
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: 06 Nov 2017

Module/Topic

Introduction to Statistics

Chapter

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

Events and Submissions/Topic

Week 2 Begin Date: 13 Nov 2017

Module/Topic

Presenting Data

Chapter

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

Events and Submissions/Topic

Week 3 Begin Date: 20 Nov 2017

Module/Topic

Numerical Descriptive Measures

Chapter

SG 3; ST Chapter 3

Events and Submissions/Topic

Fortnightly Quiz 1


Online Quiz(zes) Due: Week 3 Friday (24 Nov 2017) 11:00 pm AEST
Week 4 Begin Date: 27 Nov 2017

Module/Topic

Probability

Chapter

SG 4; ST Chapter 4

Events and Submissions/Topic

Vacation Week Begin Date: 04 Dec 2017

Module/Topic

Chapter

Events and Submissions/Topic

Week 5 Begin Date: 11 Dec 2017

Module/Topic

Discrete Distributions

Chapter

SG 5; ST Chapter 5

Events and Submissions/Topic

Fortnightly Quiz 2

Week 6 Begin Date: 18 Dec 2017

Module/Topic

Continuous Distributions

Chapter

SG 6; ST Chapter 6

Events and Submissions/Topic

Week 7 Begin Date: 01 Jan 2018

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: 08 Jan 2018

Module/Topic

Confidence Interval Estimation

Chapter

SG 8; ST Chapter 8

Events and Submissions/Topic

Week 9 Begin Date: 15 Jan 2018

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: 22 Jan 2018

Module/Topic

Chi-square tests

Chapter

SG 10; ST Chapter 12

Events and Submissions/Topic

Submit Assignment 2


Written Assessment Due: Week 10 Friday (26 Jan 2018) 6:00 pm AEST
Week 11 Begin Date: 29 Jan 2018

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 Feb 2018

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 Feb 2018

Module/Topic

Chapter

Events and Submissions/Topic

Assessment Tasks

1 Online Quiz(zes)

Assessment Title
Online Quiz(zes)

Task Description

You will have to use WileyPLUS website to login and sit the online quiz. Your password and user ID will be provided by the Unit Coordinator before the first quiz. The first quiz will start on Monday of Week 3 and end on Friday of the same week. The other quizzes will be in weeks 5, 7, 9 and 11. You will be allowed only 3 attempts to answer a question and the last answer will be saved and graded. No penalty for multiple attempts.


Number of Quizzes

5


Frequency of Quizzes

Fortnightly


Assessment Due Date

Week 3 Friday (24 Nov 2017) 11:00 pm AEST

No extension possible. Try submitting earlier to avoid internet congestion at the last moment.


Return Date to Students

The results will be available online after the due date.


Weighting
20%

Assessment Criteria

No part marks available. You get full marks for correct answer and no mark for incorrect answer.


Referencing Style

Submission
Online

Learning Outcomes Assessed
  • Analyze and work with data in a statistical framework
  • Interpret data to gather more information about the process
  • Estimate the probabilities of various scenarios and possibilities using popular tools
  • Make statistical inferences based on sample observations


Graduate Attributes
  • Knowledge
  • Cognitive, technical and creative skills

2 Written Assessment

Assessment Title
Written Assessment

Task Description

Solve the assignment 2 questions showing full working in legible writing or typed or combination. The questions will be from topics covered in weeks 1 to 9.


Assessment Due Date

Week 10 Friday (26 Jan 2018) 6:00 pm AEST

Submit online before the deadline to avoid internet congestion at the last moment.


Return Date to Students

Marked assignments will be returned in approximately two weeks after the submission date.


Weighting
20%

Assessment Criteria

Marks will be allocated for procedure, presentation and correct answer.


Referencing Style

Submission
Online

Submission Instructions
Submit online in pdf, doc, docx or rtf format with a total size less than 50 MB

Learning Outcomes Assessed
  • Analyze and work with data in a statistical framework
  • Interpret data to gather more information about the process
  • Estimate the probabilities of various scenarios and possibilities using popular tools
  • 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

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