CQUniversity Unit Profile
BIOL12105 Scientific Analysis and Statistics
Scientific Analysis and 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

An understanding of experimental design, statistical methods, ethics and the ability to critically analyse scientific reports is essential for graduates in the sciences. In this unit, you will study experimental design, ethics and commonly used statistical procedures. You will be introduced to hypothesis testing and experimental design, parametric and non-parametric analyses, one, two and multi sample analyses (including one way, two way, and nested ANOVA designs, as well as multivariate analyses), correlation and regression, and data transformation. The learning and teaching strategy uses a clear, conceptual approach, which assumes that you have little or no statistical background.

Details

Career Level: Undergraduate
Unit Level: Level 2
Credit Points: 6
Student Contribution Band: 7
Fraction of Full-Time Student Load: 0.125

Pre-requisites or Co-requisites

Prerequisite: SCIE11023 Scientific Research Fundamentals or ESSC11004 Study and Research Skills for Health Science or SCIE11024 Science Investigation

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 - 2021

Online

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. Written Assessment
Weighting: 25%
2. Practical Assessment
Weighting: 25%
3. Online Quiz(zes)
Weighting: 50%

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 Moodle feedback

Feedback

One student commented that no timely feedback or responses were provided, and that communication from the lecturer was slow.

Recommendation

This comment is perplexing given the weekly additional live Zoom sessions run through term, and the focus on fast return of marked work with individual feedback (longest period from submission to return was 7 days). All feedback is considered toward continual improvement of timely communication and feedback.

Feedback from Moodle feedback Email

Feedback

Students expressed their appreciation for the format of the lectures being in shorter 'bite-sized' units of information that they could learn from before building upon with the subsequent lecture.

Recommendation

Retain this format of content delivery for future offerings.

Unit Learning Outcomes
On successful completion of this unit, you will be able to:
  1. Describe the uses, pitfalls and limitations of parametric and non-parametric statistical tests
  2. Choose an appropriate statistical test for a set of data
  3. Correctly use software programs for analysing scientific data
  4. Know when experiments require ethical clearance and explain the basic principles of ethical experimentation
  5. Critique scientific reports and research proposals in terms of the quality of their experimental design
  6. Design realistic experiments with appropriate control and replicates
  7. Explain the rationale behind statistical testing and probability levels.
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 7
1 - Written Assessment - 25%
2 - Practical Assessment - 25%
3 - Online Quiz(zes) - 50%

Alignment of Graduate Attributes to Learning Outcomes

Graduate Attributes Learning Outcomes
1 2 3 4 5 6 7
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

Alignment of Assessment Tasks to Graduate Attributes

Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8 9
1 - Written Assessment - 25%
2 - Practical Assessment - 25%
3 - Online Quiz(zes) - 50%
Textbooks and Resources

Textbooks

Prescribed

Statistics Explained 2nd (2012)

Authors: McKillup, Steve
Cambridge University Press
Cambridge Cambridge , UK
ISBN: 978-0521183284
Binding: Paperback

IT Resources

You will need access to the following IT resources:
  • CQUniversity Student Email
  • Internet
  • Unit Website (Moodle)
  • SPSS Statistical software (instructions for accessing will be provided during term)
Referencing Style

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

For further information, see the Assessment Tasks.

Teaching Contacts
Andrew Irving Unit Coordinator
a.irving@cqu.edu.au
Schedule
Week 1 Begin Date: 08 Nov 2021

Module/Topic

  • Unit Introduction
  • What is science, logic, and reasoning?
  • The scientific method

Chapter

McKillup Chapters 1 & 2

Events and Submissions/Topic

Week 2 Begin Date: 15 Nov 2021

Module/Topic

  • Types of data
  • Fundamentals of sampling and experimental design

Chapter

McKillup Chapters 3 & 4

Events and Submissions/Topic

Week 3 Begin Date: 22 Nov 2021

Module/Topic

  • Making decisions from data
  • The normal distribution

Chapter

McKillup Chapters 6 - 8

Events and Submissions/Topic

Week 4 Begin Date: 29 Nov 2021

Module/Topic

  • One sample tests
  • Two sample tests
  • Decision errors

Chapter

McKillup Chapters 9 & 10

Events and Submissions/Topic

Vacation Week Begin Date: 06 Dec 2021

Module/Topic

Chapter

Events and Submissions/Topic

Week 5 Begin Date: 13 Dec 2021

Module/Topic

  • Analysis of Variance (ANOVA)
  • Multiple comparisons

Chapter

McKillup Chapters 11 & 12

Events and Submissions/Topic

Week 6 Begin Date: 20 Dec 2021

Module/Topic

  • Assumptions and transformations for ANOVA
  • Two-way ANOVA

Chapter

McKillup Chapters 13 & 14

Events and Submissions/Topic

Vacation Week Begin Date: 27 Dec 2021

Module/Topic

Chapter

Events and Submissions/Topic

Week 7 Begin Date: 03 Jan 2022

Module/Topic

  • Correlation
  • Regression

Chapter

McKillup Chapters 16 & 17

Events and Submissions/Topic

Critique of a research project Due: Week 7 Monday (3 Jan 2022) 11:45 pm AEST
Week 8 Begin Date: 10 Jan 2022

Module/Topic

  • Non-parametric tests
  • Chi-Square and related tests

Chapter

McKillup Chapters 19 & 20

Events and Submissions/Topic

Week 9 Begin Date: 17 Jan 2022

Module/Topic

  • Non-parametric correlation

Chapter

McKillup Chapter 21

Events and Submissions/Topic

Week 10 Begin Date: 24 Jan 2022

Module/Topic

  • Introduction to multivariate analysis
  • Principal components analysis
  • Multi-dimensional scaling
  • Cluster analysis

Chapter

McKillup Chapter 22

Events and Submissions/Topic

Week 11 Begin Date: 31 Jan 2022

Module/Topic

  • Choosing the right test
  • Ethics in research

Chapter

McKillup Chapters 23 & 5

Events and Submissions/Topic

Practical analysis of research data Due: Week 11 Friday (4 Feb 2022) 11:45 pm AEST
Week 12 Begin Date: 07 Feb 2022

Module/Topic

  • Unit revision

Chapter

Events and Submissions/Topic

Exam Week Begin Date: 14 Feb 2022

Module/Topic

Chapter

Events and Submissions/Topic

End of term quiz Due: Exam Week Monday (14 Feb 2022) 9:00 am AEST
Term Specific Information

Please note that this unit is delivered entirely online, and as such, will require your dedication to keep up with the lecture and unit content throughout term. The Moodle page will be a central resource for accessing content, assignment instructions, as well as the teaching staff.

Assessment Tasks

1 Written Assessment

Assessment Title
Critique of a research project

Task Description

You are required to critique a summary description of a research project, using the knowledge you have gained so far in the unit. You will be provided with a summary description of a research project that will contain conceptual and technical flaws in the approach to the research (including context/justification), methodology/experimental design, logic of thought, analysis and/or conclusions for you to consider. In your critique submission, you will need to:


· Identify the flaws in approach, logic, methodology, analytical procedures, interpretation/conclusions,
· Describe why you consider it a flaw, and
· Present your solution to remedy the flaw, if possible (if not possible, explain why).


You may present your findings as either regular prose (i.e. akin to an essay or report), as an expanded list of dot points, or as a table. Please choose whichever written format you consider will be most suited to conveying your thoughts.


There is a limit of 1000 words for this assignment.


Assessment Due Date

Week 7 Monday (3 Jan 2022) 11:45 pm AEST

Please submit your work as a Word document via Moodle. No PDF files will be accepted.


Return Date to Students

Week 9 Monday (17 Jan 2022)

Marked assessments will be returned via Moodle.


Weighting
25%

Minimum mark or grade
50 %

Assessment Criteria

This assessment is worth 25 % of your overall unit grade, and will be marked according to the following criteria:

  • Flaw identification (33.33 % of final mark)
  • Reasoning why you think it's a flaw (33.33 % of final mark)
  • Solution to the flaw (33.33 % of final mark)


Referencing Style

Submission
Online

Submission Instructions
Please submit your work as a Word document via Moodle. No PDF files will be accepted.

Learning Outcomes Assessed
  • Describe the uses, pitfalls and limitations of parametric and non-parametric statistical tests
  • Know when experiments require ethical clearance and explain the basic principles of ethical experimentation
  • Critique scientific reports and research proposals in terms of the quality of their experimental design


Graduate Attributes
  • Communication
  • Problem Solving
  • Critical Thinking
  • Information Literacy
  • Ethical practice

2 Practical Assessment

Assessment Title
Practical analysis of research data

Task Description

You are required to evaluate the data acquired from three different experiments, suggest an appropriate statistical test for each, do the tests using the IBM SPSS statistics computer program, and interpret your results. An assessment template with the data and questions to answer will be provided on the Moodle site. You will be able to type your answers directly into this template, and resubmit the file to Moodle for assessment. You will need to download/access the SPSS computer program for this assessment. Instructions on how to do this will be provided during the term.


Assessment Due Date

Week 11 Friday (4 Feb 2022) 11:45 pm AEST

Please submit your work as a Word document via Moodle. No PDF files will be accepted.


Return Date to Students

Exam Week Friday (18 Feb 2022)

Marked assessments will be returned through Moodle.


Weighting
25%

Minimum mark or grade
50 %

Assessment Criteria

This assessment is worth 25 % of your overall unit grade, and will be marked based on the following criteria:

  • Appropriate choice of statistical test (25 % of final mark)
  • Correct use of statistical test (50 % of final mark)
  • Correct interpretation of the outcome(s) of each statistical test (25 % of final mark)


Referencing Style

Submission
Online

Submission Instructions
Please submit your work as a Word document via Moodle. No PDF files will be accepted.

Learning Outcomes Assessed
  • Choose an appropriate statistical test for a set of data
  • Correctly use software programs for analysing scientific data


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

3 Online Quiz(zes)

Assessment Title
End of term quiz

Task Description

You will be required to complete an end of term online quiz that will test your knowledge of the entire content of the unit. The quiz will be in a similar format to a traditional end of term exam, requiring you to complete the task within a defined period of time (3 hours will be allocated). Some basic calculations will be required as practiced in the lecture content.


PLEASE NOTE: The due date listed below for this assessment is a placeholder date only. The exact day of the quiz will be finalised ASAP during term once appropriate timetabling has been considered to avoid clashes of multiple similar assessments during the exam weeks. This date will be advertised on Moodle when known.


Number of Quizzes

1


Frequency of Quizzes

Other


Assessment Due Date

Exam Week Monday (14 Feb 2022) 9:00 am AEST

Please complete the quiz on Moodle as instructed.


Return Date to Students

Exam Week Friday (18 Feb 2022)

Your quiz will be marked online through Moodle.


Weighting
50%

Minimum mark or grade
50 %

Assessment Criteria

This quiz is worth 50 % of your overall unit grade. Each question in the quiz will be worth a different amount of marks depending on its complexity. Please attempt ALL questions to ensure you can get the highest mark possible. It is usually a good strategy to first attempt those questions that have the highest marks allocated to them, in case you run short of time. Examples of past similar questions will be provided for you as a study aid on Moodle.


Referencing Style

Submission
Online

Submission Instructions
Please complete the quiz on Moodle as instructed.

Learning Outcomes Assessed
  • Describe the uses, pitfalls and limitations of parametric and non-parametric statistical tests
  • Choose an appropriate statistical test for a set of data
  • Know when experiments require ethical clearance and explain the basic principles of ethical experimentation
  • Critique scientific reports and research proposals in terms of the quality of their experimental design
  • Design realistic experiments with appropriate control and replicates
  • Explain the rationale behind statistical testing and probability levels.


Graduate Attributes
  • Communication
  • Problem Solving
  • Critical Thinking
  • Ethical practice

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?