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HE Unit Template
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Statistics and R
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STATS5000 - Statistics and R
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20270200
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Course
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Unit
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3.1
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2026-09-21
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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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Postgraduate - Coursework
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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/stats5000">View unit fees</a>
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Graded (e.g. HD, D, C, etc)
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8
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Bachelor Honours Degree, Graduate Certificate, Graduate Diploma
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Introductory
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1
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<p>Data scientists use statistics to collect, check, analyse, and obtain meaningful conclusions from raw and unstructured data. They create models to test predictions or identify trends. This unit introduces you to statistical analysis methods using R, an open-source programming language and environment used for statistical analysis, data visualization, and data science. You will encounter problem sets from various disciplines as you learn to analyse and visualise data and communicate your findings to various audiences.</p>
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<p class="ql-align-justify">Topics may include:</p>
<ul>
<li class="ql-align-justify">Introduction to the R environment.</li>
<li class="ql-align-justify">Data presentation and basic descriptive statistics.</li>
<li class="ql-align-justify">Discrete and continuous probability distributions.</li>
<li class="ql-align-justify">Estimation and hypothesis testing (t-tests for single sample, paired and independent).</li>
<li class="ql-align-justify">Non-parametric alternatives.</li>
<li class="ql-align-justify">ANOVA</li>
<li class="ql-align-justify">Chi-square tests.</li>
<li class="ql-align-justify">Simple linear regression.</li>
</ul>
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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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2027
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2026
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STATS5000 - Statistics and R
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STATS5000 - Statistics and R
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Semester 1
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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>Data scientists use statistics to collect, check, analyse, and obtain meaningful conclusions from raw and unstructured data. They create models to test predictions or identify trends. This unit introduces you to statistical analysis methods using R, an open-source programming language and environment used for statistical analysis, data visualization, and data science. You will encounter problem sets from various disciplines as you learn to analyse and visualise data and communicate your findings to various audiences.</p>
Unit content
<p class="ql-align-justify">Topics may include:</p> <ul> <li class="ql-align-justify">Introduction to the R environment.</li> <li class="ql-align-justify">Data presentation and basic descriptive statistics.</li> <li class="ql-align-justify">Discrete and continuous probability distributions.</li> <li class="ql-align-justify">Estimation and hypothesis testing (t-tests for single sample, paired and independent).</li> <li class="ql-align-justify">Non-parametric alternatives.</li> <li class="ql-align-justify">ANOVA</li> <li class="ql-align-justify">Chi-square tests.</li> <li class="ql-align-justify">Simple linear regression.</li> </ul>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Engineering
Study level:
Postgraduate - Coursework
Credit points:
15
EFTSL:
0.125
Field of education:
010103 - Statistics
Offering:
<p><strong>Semester 1</strong><p>Ballarat - Mt Helen (On Campus)</p><p>On-line Learning</p></p> <p><strong>Semester 2</strong><p>Ballarat - Mt Helen (On Campus)</p><p>Melbourne City Campus (On Campus)</p><p>On-line Learning</p></p> <p><strong>Summer Semester</strong><p>Melbourne City Campus (On Campus)</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/stats5000">View unit fees</a>
Requisites
Prerequisite
None
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 a set of data using appropriate statistical measures.</p>
K2
<p>Distinguish between hypothesis testing procedures in statistics.</p>
K3
<p>Analyse the relationship between two variables using linear regression.</p>
S1
<p>Complete routine data management tasks and statistical analyses using R software.</p>
S2
<p>Perform formal statistical analysis of data from a variety of disciplines.</p>
S3
<p>Summarise data using graphs and tables.</p>
S4
<p>Select and perform appropriate hypothesis tests using R software.</p>
S5
<p>Formulate a simple linear regression model and determine the model functionality.</p>
S6
<p>Perform and interpret one- and two-way analyses of variance (ANOVA).</p>
S7
<p>Communicate results from statistical analyses using appropriate statistical conventions.</p>
A1
<p>Select, perform and justify appropriate statistical analysis for given data sets and problem situations.</p>
A2
<p>Produce clear, orderly and informative statistical summaries and technical reports.</p>
Assessment
Learning Tasks and Assessment
Ref
Learning task
Assessment type
Weighting
Learning outcomes assessed
1
<p>Weekly lab activities</p>
<p>Online quizzes</p>
<p>10-20%</p>
K1, K2, K3, S1, S2, S3, S4, S5, S6, S7, A1
2
<p>Documenting completed analysis tasks</p>
<p>Analysis Report(s)</p>
<p>20% - 30%</p>
K1, K2, K3, S1, S2, S3, S7, A1, A2
3
<p>Co-designed and collaborative statistical inference tasks using authentic data contexts.</p>
<p>Interpreting and reporting on analysis for a particular audience (written reporting or presentations) followed by justification of analysis choices (oral discussion or quiz based)</p>
<p>50% - 60%</p>
K1, K2, K3, S4, S7, A1, A2
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
<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>
FedTASK
Description of FedTASK outcome
FedTASK 1: Interpersonal
Students will demonstrate high-level skills to effectively communicate, interact and work with others both individually and in groups Students will be required to display (in person and/or online) high-level skills in-person and/or online in: Effective verbal and non-verbal communication via a range of synchronous and asynchronous methods Active listening for meaning and influencing High-level empathy for others Negotiating and demonstrating extended conflict resolution skills Working respectfully in cross-cultural and diverse teams
FedTASK 2: Leadership
Students will demonstrate the ability to apply leadership skills and behaviours Students will be required to display skills in: Creating, contributing to, and enabling collegial environments Showing self-awareness and the ability to self-reflect for personal growth Inspiring and enabling others Making informed and evidence-based decisions through consultation with others Displaying initiative and ability to solve problems
FedTASK 3: Critical Thinking and Creativity
Students will demonstrate an ability to work in complex and ambiguous environments, using their imagination to create new ideas Students will be required to display skills in: Reflecting critically on complex problems Synthesising, evaluating ideas, concepts and information Proposing alternative perspectives to refine ideas Challenging conventional thinking to clarify concepts through deep inquiry Proposing creative solutions in problem solving
FedTASK 4: Digital Literacy
Students will demonstrate the ability to work proficiently across a range of tools, platforms and applications to achieve a range of tasks Students will be required to display high-level skills in: Finding, accessing, collating, evaluating, managing, curating, organising and appropriately and securely sharing complex digital information at a high-level Receiving and responding to messages in a range of digital media Using digital tools appropriately to conduct research Contributing proficiently to digital teams and working groups Participating in and utilising digital learning opportunities
FedTASK 5: Sustainable and Ethical Mindset
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Engineering
Study level:
Postgraduate - Coursework
Credit points:
15
EFTSL:
0.125
Field of education:
010103 - Statistics
Offering:
<p><strong>Semester 1</strong><p>Ballarat - Mt Helen (On Campus)</p><p>On-line Learning</p></p> <p><strong>Semester 2</strong><p>Ballarat - Mt Helen (On Campus)</p><p>Melbourne City Campus (On Campus)</p><p>On-line Learning</p></p> <p><strong>Summer Semester</strong><p>Melbourne City Campus (On Campus)</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/stats5000">View unit fees</a>
Additional information
Add Info Static Text
Internal reference: STATS5000 - U3.1