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Experimental Design & Analysis
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STATS2100 - Experimental Design & Analysis
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20260200
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3.1
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2026-09-10
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2026-09-10
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Engineering
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Institute of Innovation, Science & Sustainability
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Engineering
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Undergraduate
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15
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.125
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010103
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Statistics
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010103 - Statistics
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<a href="http://www.federation.edu.au/locate/unit/stats2100">View unit fees</a>
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Graded (e.g. HD, D, C, etc)
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<p>This unit introduces the key concepts underlying the design and analysis of statistical experiments. A range of experimental designs is considered. Data from various disciplinary contexts is utilised, and there is a strong emphasis on computing skills, interpretation of computer output and communication of statistical results and conclusions.</p>
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<p>Topics may include:<br>
1. one-way ANOVA with multiple comparisons and planned and post hoc comparisons;<br>
2. factorial designs and interactions;<br>
3. power analysis;<br>
4. fixed and random effects models;<br>
5. balanced incomplete block designs;<br>
6. latin squares and split plot designs;<br>
7. hierarchical (nested) designs;<br>
8. repeated measures designs.</p>
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<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
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Semester
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0200
Year
Year
2027
Current Year
2026
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STATS2100 - Experimental Design & Analysis
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STATS2100 - Experimental Design & Analysis
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Year
2027
2026
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Overview
Key information
Requisites
Learning outcomes
Assessment
FedTASK
Parent Region
Overview
Unit description
<p>This unit introduces the key concepts underlying the design and analysis of statistical experiments. A range of experimental designs is considered. Data from various disciplinary contexts is utilised, and there is a strong emphasis on computing skills, interpretation of computer output and communication of statistical results and conclusions.</p>
Unit content
<p>Topics may include:<br> 1. one-way ANOVA with multiple comparisons and planned and post hoc comparisons;<br> 2. factorial designs and interactions;<br> 3. power analysis;<br> 4. fixed and random effects models;<br> 5. balanced incomplete block designs;<br> 6. latin squares and split plot designs;<br> 7. hierarchical (nested) designs;<br> 8. repeated measures designs.</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Engineering
Study level:
Undergraduate
Credit points:
15
EFTSL:
0.125
Field of education:
010103 - Statistics
Offering:
<p><strong>Semester 2</strong><p>Ballarat - Mt Helen (On Campus)</p><p>On-line Learning</p></p>
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/stats2100">View unit fees</a>
Requisites
Prerequisite
<p>must have completed "<a href="/ords/r/curriculum/catalogue/course?p6_code=STATS1000" target="_blank">STATS1000</a>"</p>
Corequisite
None
Exclusion
None
Learning outcomes
Learning outcomes
<p>On successful completion of this unit, students are expected to gain the following [K]nowledge, [S]kills and [A]pplication of knowledge & skills</p>
Learning Outcomes
Ref
Outcome
K1
<p>describe the concepts of experimental design, determine the design used in a particular practical situation, and identify the factors relevant to the situation;</p>
K2
<p>choose appropriate experimental design techniques in context of the problem;</p>
K3
<p>identify, analyse and report on a selection of advanced experimental designs;</p>
K4
<p>describe the concept of power in relation to experimental design, and perform power calculations for simple designs;</p>
K5
<p>interpret the results and computer output from all of the above designs and present clear, orderly and informative statistical summaries and technical reports.</p>
S1
<p>use technology to perform analysis of variance, including estimation of contrasts, planned and post hoc comparisons;</p>
S2
<p>perform formal statistical analysis of data from a variety of disciplines;</p>
S3
<p>use technology to generate and then interpret computer output and communicate statistical results and conclusions.</p>
A1
<p>build and apply experimental designs for the real-world problems.</p>
Assessment
Learning Tasks and Assessment
Ref
Learning task
Assessment type
Weighting
Learning outcomes assessed
1
<p>Read, research and apply various aspects of experimental designs.</p>
<p>Assignments</p>
<p>40 - 60%</p>
K1, K2, K3, K4, K5, S1, S2, S3, A1
2
<p>Attend lectures, read and summarise theoretical aspects of the unit</p>
<p>Test/Viva</p>
<p>40 - 60%</p>
K2, K3, K4, K5, S1, S2, S3
Supplementary assessment available:
Yes
Supplementary assessment information:
<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
FedTASK
FedTASK
Description of FedTASK outcome
Level
FedTASK 1: Interpersonal
The ability to effectively communicate, interact and work with others both individually and in groups.
<p>Level 1 - Students require directions and boundaries from mentor</p>
FedTASK 2: Leadership
The ability to apply professional skills and behaviours in leading others.
<p>Level 1 - Students require directions and boundaries from mentor</p>
FedTASK 3: Critical Thinking and Creativity
The ability to work in complexity and ambiguity using imagination to create new ideas.
<p>Level 2 - Student demonstrates some independence within provided guidelines</p>
FedTASK 4: Digital Literacy
The ability to work fluently across a range of tools and applications to achieve a range of skills.
<p>Level 3 - Student works independently with limited guidance or works within self-determined guidelines appropriate to context</p>
FedTASK 5: Sustainable and Ethical Mindset
The ability to consider and assess the consequences and impact of ideas and actions in enacting ethical and sustainable decisions.
FedTASK
<p>Federation University recognises that students require key transferable employability skills to prepare them for their future workplace and society. FedTASKs (<strong>T</strong>ransferable <strong>A</strong>ttributes <strong>S</strong>kills and <strong>K</strong>nowledge) provide a targeted focus on five key, transferable Attributes, Skills, and Knowledge that are embedded within curriculum, developed gradually towards successful measures and interlinked with cross-discipline and co-operative learning opportunities.</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Engineering
Study level:
Undergraduate
Credit points:
15
EFTSL:
0.125
Field of education:
010103 - Statistics
Offering:
<p><strong>Semester 2</strong><p>Ballarat - Mt Helen (On Campus)</p><p>On-line Learning</p></p>
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Fee information:
<a href="http://www.federation.edu.au/locate/unit/stats2100">View unit fees</a>
Additional information
Add Info Static Text
Internal reference: STATS2100 - U3.1