BIOL12105 - Scientific Analysis and Statistics

General Information

Unit Synopsis

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

Level Undergraduate
Unit Level 2
Credit Points 6
Student Contribution Band SCA Band 1
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).

Class Timetable View Unit Timetable
Residential School No Residential School

Unit Availabilities from Term 3 - 2022

Term 3 - 2022 Profile
Online
Term 2 - 2023 Profile
Online
Term 3 - 2023 Profile
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).

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.

Assessment Tasks

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

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

Past Exams

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Previous Feedback

Term 2 - 2021 : The overall satisfaction for students in the last offering of this course was 3.7 (on a 5 point Likert scale), based on a 30% response rate.

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.

Source: Moodle feedback
Feedback
One student suggested that the unit could be improved by providing practice questions they could work through before the end-or-term quiz
Recommendation
Multiple past exams/quiz questions are already provided on the Moodle site, and additional questions will be provided in future offerings.
Action Taken
Past exams/quizzes as well as additional sets of practice questions were provided to students prior to the end-of-term quiz.
Source: Emails
Feedback
There was some apparent confusion from a couple of students regarding the scope of the first assessment.
Recommendation
Upon review of the assessment description, there was some ambiguity in the language of the specific tasks set. The wording will subsequently be modified to remove this ambiguity.
Action Taken
Wording of assessment instructions was clarified and appeared to cause no confusion during this offering.
Source: Moodle feedback
Feedback
A comment was provided that noted the breakdown of the unit content into smaller, more digestible units helped their ability to learn and accumulate the knowledge across the length of the term.
Recommendation
This format will be continued for future offerings, with the recommendation that additional opportunities to deliver content in the same way be identified within the unit.
Action Taken
The current format was retained, with additional content of the same format provided for the second assessment tutorial.
Source: 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.
Action Taken
Nil.
Source: 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.
Action Taken
Nil.
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 Assessment Tasks to Learning Outcomes
Assessment Tasks Learning Outcomes
1 2 3 4 5 6 7
1 - Written Assessment
2 - Practical Assessment
3 - Online Quiz(zes)
Alignment of Graduate Attributes to Learning Outcomes
Introductory Level
Intermediate Level
Graduate Level
Graduate Attributes Learning Outcomes
1 2 3 4 5 6 7
1 - Communication
2 - Problem Solving
3 - Critical Thinking
6 - Information Technology Competence
8 - Ethical practice
Alignment of Assessment Tasks to Graduate Attributes
Introductory Level
Intermediate Level
Graduate Level
Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8 9 10
1 - Written Assessment
2 - Practical Assessment
3 - Online Quiz(zes)