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MATH13218 - Experiment Design and Analysis

General Information

Unit Synopsis

This course covers the statistical principles and procedures involved in designing experimental studies and the subsequent methods of statistical analysis. The importance of replication, randomisation, blocking and control treatments in designing an experiment are initially considered. Then we examine a variety of designs which include completely randomised, randomised block, latin square, incomplete block, nested and split plot designs. Factorial treatment structures are considered along with the issues of confounding, fractional replication plus the fitting of response curves and surfaces. Analysis of covariance and regression are also discussed. Techniques for checking the validity of assumptions used in a statistical analysis are discussed. Statistical software is used to analyse experimental data from all of the designs considered and there is a focus on the importance of interpreting and reporting the results of the statistical analyses. The emphasis of the course is on designing useful experiments to evaluate clearly stated objectives, on carrying out the statistical analysis, and on interpreting the statistical and practical importance of the results.

Details

Level Undergraduate
Unit Level 3
Credit Points 6
Student Contribution Band SCA Band 1
Fraction of Full-Time Student Load 0.125
Pre-requisites or Co-requisites

Prerequisites:  STAT11048 Essential Statistics and  MATH12223 Calculus and Linear Algebra A

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 1 - 2015

Term 2 - 2017 Profile
Distance
Term 2 - 2018 Profile
Distance
Term 2 - 2019 Profile
Online
Term 2 - 2020 Profile
Online
Term 2 - 2021 Profile
Online
Term 2 - 2022 Profile
Online
Term 2 - 2023 Profile
Online
Term 2 - 2024 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. Written Assessment 25%
3. Written Assessment 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 - 2022 : The overall satisfaction for students in the last offering of this course was 100.00% (`Agree` and `Strongly Agree` responses), based on a 50.00% 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: Student requests
Feedback
A few students asked for opening the face-to-face class in Rockhampton along with the online zoom class.
Recommendation
Investigate opening face-to-face classes in Rockhampton if more students are able to attend such classes regularly in the future
Action Taken
The overwhelming feedback from students has shown that the weekly live online classes (lecture + tutorial) have been more effective to support students' learning and more fitting for their work commitments. This online live teaching should be continued.
Source: Unit evaluation, emails, and in-class feedback
Feedback
Students appreciated the challenging but enjoyable journey of their mathematics study.
Recommendation
Continue to offer a positive supported learning experience.
Action Taken
Nil.
Unit learning Outcomes

On successful completion of this unit, you will be able to:

  1. Evaluate and discuss the statistical principles and procedures involved in designing useful experimental studies.
  2. Critically discuss the advantages and disadvantages of using a standard experimental design like a completely randomised, randomised block, latin square, nested or split plot design.
  3. Statistically analyse data from a standard experimental design like a completely randomised, randomised block, latin square, nested or split plot design.
  4. Design and analyse factorial experiments plus interpret the meaning of interactions between factors.
  5. Assess and apply confounding and fractional replication in the design and analysis of an experiment.
  6. Apply analysis of covariance and regression in the design and analysis of an experiment.
  7. Use statistical software in the design and analysis of an experiment, and interpret the output.
  8. Solve practical problems in decision making by designing experiments, analysing data and interpreting the statistical and practical importance of results.

Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks Learning Outcomes
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1 - Written Assessment • • • • •
2 - Written Assessment • • • • • • •
3 - Written Assessment • • • • • • • •
Alignment of Graduate Attributes to Learning Outcomes
• Introductory Level
• Intermediate Level
• Graduate Level
Graduate Attributes Learning Outcomes
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1 - Communication • • • • • • • •
2 - Problem Solving • • • • • • • •
3 - Critical Thinking • • • • • • • •
4 - Information Literacy • • • • • • • •
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 - Written Assessment • • • • • •
3 - Written Assessment • • • • • •