CQUniversity Unit Profile
STAT11048 Essential Statistics
Essential Statistics
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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 introduces you to the concepts and applications of probability and statistical modelling involving questions of estimation, inference, regression, and correlation. Topics covered include descriptive statistics, measures of central tendency and dispersion, probability and probability distributions (binomial, Poisson, normal), confidence intervals, one and two-sample hypothesis tests, one-way analysis of variance, chi-square tests, linear regression, and correlation. The use of a calculator and a statistical/spreadsheet computer package for data analysis are covered.

Details

Career Level: Undergraduate
Unit Level: Level 1
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 1 - 2023

Bundaberg
Mackay
Online
Rockhampton

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 Undergraduate 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: 40%
2. 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 Unit Evaluations

Feedback

Pre-recorded videos were appreciated by students, however additional recordings of live classes were also requested.

Recommendation

Continue to enhance video resources, including making all lecture recordings available after class, and providing recordings of key parts of tutorials.

Feedback from Units Evaluations

Feedback

There was no Zoom tutorial for online students in Term 2.

Recommendation

Provide at least one online Zoom tutorial for students.

Feedback from Reflection from teaching team

Feedback

With quiz questions in PDF, it can be difficult for students to enter answers in Moodle and limits the opportunity for question variants for students.

Recommendation

Develop a database of questions inside Moodle so students can complete the entire quiz in Moodle

Unit Learning Outcomes
On successful completion of this unit, you will be able to:
  1. Apply the concepts of elementary statistics to analyse data
  2. Demonstrate knowledge of introductory probability theory to predict the likelihood of occurrence of an event
  3. Formulate solutions to statistics problems using statistical analysis and sampling theory
  4. Identify an appropriate probability distribution for a given scenario and use its properties to calculate probabilities
  5. Draw statistical conclusions about a population based on a sample of data using one sample, two sample, and ANOVA tests
  6. Use a calculator and computer software to perform statistical calculations.

This unit is designed to provide a foundation in statistical thinking as applied to decision making in life.

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) - 40%
2 - Examination - 60%

Alignment of Graduate Attributes to Learning Outcomes

Graduate Attributes Learning Outcomes
1 2 3 4 5 6
1 - Communication
2 - Problem Solving
3 - Critical Thinking
4 - Information Literacy
5 - Team Work
6 - Information Technology Competence
7 - Cross Cultural Competence
8 - Ethical practice
9 - Social Innovation
10 - 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 9 10
1 - Online Quiz(zes) - 40%
2 - Examination - 60%
Textbooks and Resources

Textbooks

Prescribed

STAT11048 Study Guide 2019

Edition: 4th ed (2019)
Authors: Shepherd, R
CQUniversity
Rockhampton Rockhampton , QLD , Australia
Binding: Spiral
Supplementary

Business Statistics, Abridged: Australia & New Zealand

7th edition (2017)
Authors: E. A. Selvanathan, S. Selvanathan and G.Keller
Cengage Learning Australia Pty Ltd
Melbourne Melbourne , Victoria , Australia
ISBN: 9780170369473
Binding: Paperback

Additional Textbook Information

Textbooks can be accessed online at the CQUniversity Library website. If you prefer your own copy, you can purchase either paper or eBook versions at the CQUni Bookshop here: http://bookshop.cqu.edu.au (search on the Unit code)

IT Resources

You will need access to the following IT resources:
  • CQUniversity Student Email
  • Internet
  • Unit Website (Moodle)
  • Access to a webcam, speaker and microphone or a headset. (For participating in online lectures and tutorials.)
Referencing Style

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

For further information, see the Assessment Tasks.

Teaching Contacts
Antony Dekkers Unit Coordinator
a.dekkers@cqu.edu.au
Schedule
Week 1 Begin Date: 06 Mar 2023

Module/Topic

Introduction to Statistics

Chapter

Study Guide - Chapter 1

Selvanathan Textbook - Chapters 1 & 3, plus Chapter 2 (Sections 2.1 & 2.2 only)

Events and Submissions/Topic

Watch lecture videos and do tutorial exercises for Week 1.

Week 2 Begin Date: 13 Mar 2023

Module/Topic

Data Distributions

Chapter

Study Guide - Chapter 2

Selvanathan Textbook - Chapter 4 (Section 4.1 only)

Events and Submissions/Topic

Watch lecture videos and do tutorial exercises for Week 2.

Week 3 Begin Date: 20 Mar 2023

Module/Topic

Central Tendency and Dispersion

Chapter

Study Guide - Chapter 3

Selvanathan Textbook - Chapter 5 (all Sections except 5.5)

Events and Submissions/Topic

Watch lecture videos and do tutorial exercises for Week 3.

Quiz 1: due Friday 24 March at 11.45pm.

Week 4 Begin Date: 27 Mar 2023

Module/Topic

Counting Principles and Probability

Chapter

Study Guide - Chapter 4

Selvanathan Textbook - Chapter 6 (all Sections except 6.5)

Events and Submissions/Topic

Watch lecture videos and do tutorial exercises for Week 4.

Week 5 Begin Date: 03 Apr 2023

Module/Topic

Discrete Probability Distributions

Chapter

Study Guide - Chapter 5

Selvanathan Textbook - Chapter 7 (all Sections except 7.4 & 7.5)

Events and Submissions/Topic

Watch lecture videos and do tutorial exercises for Week 5.

Quiz 2: due Friday 7 April at 11.45pm.

Vacation Week Begin Date: 10 Apr 2023

Module/Topic

Chapter

Events and Submissions/Topic

Week 6 Begin Date: 17 Apr 2023

Module/Topic

Continuous Probability Distributions

Chapter

Study Guide - Chapter 6

Selvanathan Textbook - Chapter 8 (all Sections except 8.4)

Events and Submissions/Topic

Watch lecture videos and do tutorial exercises for Week 6.

Week 7 Begin Date: 24 Apr 2023

Module/Topic

Sampling and Sampling Distributions

Chapter

Study Guide - Chapter 7

Selvanathan Textbook - Chapter 2 (Sections 2.3 to 2.5), plus Chapter 9 (Sections 9.1 to 9.4 & 9.6)

Events and Submissions/Topic

Watch lecture videos and do tutorial exercises for Week 7.

Quiz 3: due Friday 28 April at 11.45pm.

Week 8 Begin Date: 01 May 2023

Module/Topic

Estimation

Chapter

Study Guide - Chapter 8

Selvanathan Textbook - Chapter 10 (all Sections)

Events and Submissions/Topic

Watch lecture videos and do tutorial exercises for Week 8.

Week 9 Begin Date: 08 May 2023

Module/Topic

Hypothesis Tests for a Population Mean or Proportion

Chapter

Study Guide - Chapter 9

Selvanathan Textbook - Chapter 12 (all Sections except 12.5)

Events and Submissions/Topic

Watch lecture videos and do tutorial exercises for Week 9.

Quiz 4: due Friday 12 May at 11.45pm.

Week 10 Begin Date: 15 May 2023

Module/Topic

Hypothesis Tests for Two or More Population Means

Chapter

Study Guide - Chapter 10

Selvanathan Textbook - Chapter 13 (Sections 13.1 & 13.2 only)

Events and Submissions/Topic

Watch lecture videos and do tutorial exercises for Week 10.

Week 11 Begin Date: 22 May 2023

Module/Topic

Linear Regression and Correlation

Chapter

Study Guide - Chapter 12

Selvanathan Textbook - Chapter 4 (Section 4.3 only), plus Chapter 15 (Sections 15.1 to 15.3, & read parts of 15.4 & 15.6)

Events and Submissions/Topic

Watch lecture videos and do tutorial exercises for Week 11.

Week 12 Begin Date: 29 May 2023

Module/Topic

Chi-Square Tests

Chapter

Study Guide - Chapter 11

Selvanathan Textbook - Chapter 14 (all Sections)

Events and Submissions/Topic

Watch lecture videos and do tutorial exercises for Week 12.

Review/Exam Week Begin Date: 05 Jun 2023

Module/Topic

Chapter

Events and Submissions/Topic

Exam Week Begin Date: 12 Jun 2023

Module/Topic

Chapter

Events and Submissions/Topic

Term Specific Information

Unit Coordinator: Antony Dekkers

email: a.dekkers@cqu.edu.au

Telephone (Office): 0749309355

Office: Rockhampton, North, CQUniversity, Building 32, Ground Floor, Room G38.

If you have any individual queries, please do not hesitate to email me and I will get back to you within two working days.

Assessment Tasks

1 Online Quiz(zes)

Assessment Title
Quizzes

Task Description

There are four quizzes and each quiz is worth 10%. These quizzes are available on the STAT11048 Moodle site, along with the due dates for each. The purpose of these quizzes is to monitor your progress throughout the term, allowing you to identify any concepts that require further review. The quizzes also provide a basis for communication between you and your Lecturer/Unit Coordinator.


Number of Quizzes

4


Frequency of Quizzes


Assessment Due Date

Due date for each quiz and be found in the unit schedule. Full details about the quizzes are available on the STAT11048 Moodle website.


Return Date to Students

Results will be available to students two weeks after the submission date. Consequently extension requests greater than 14 days will be denied except under exceptional circumstances.


Weighting
40%

Assessment Criteria

There are 4 quizzes and each quiz is worth 10%. Marks will be awarded for finding the correct answer.


Referencing Style

Submission
Online

Submission Instructions
See the STAT11048 Moodle website for details about assignment submission.

Learning Outcomes Assessed
  • Apply the concepts of elementary statistics to analyse data
  • Demonstrate knowledge of introductory probability theory to predict the likelihood of occurrence of an event
  • Formulate solutions to statistics problems using statistical analysis and sampling theory
  • Identify an appropriate probability distribution for a given scenario and use its properties to calculate probabilities
  • Use a calculator and computer software to perform statistical calculations.


Graduate Attributes
  • Communication
  • Problem Solving
  • Critical Thinking
  • Information Literacy
  • Information Technology Competence

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
Minimum percentage of examination marks required to pass unit - 40% (or 24 of the 60 marks available on the exam)

Exam Conditions
Closed Book

Materials
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
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?