| Effective Term: | 2027/05 |
| Institute / School : | Institute of Innovation, Science & Sustainability |
| Unit Title: | Statistics and R |
| Unit ID: | STATS5000 |
| Credit Points: | 15.00 |
| Prerequisite(s): | Nil |
| Co-requisite(s): | Nil |
| Exclusion(s): | Nil |
| ASCED: | 010103 |
| Other Change: | |
| Brief description of the Unit |
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. |
| Grade Scheme: | Graded (HD, D, C, P, MF, F, XF) |
| Work Experience Indicator: |
| No work experience |
| Placement Component: | |
| Supplementary Assessment:Yes |
| 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 |
| Course Level: |
| Level of Unit in Course | AQF Level(s) of Course | | 5 | 6 | 7 | 8 | 9 | 10 | | Introductory | | | | | | | | Intermediate | | | | | | | | Advanced | | | | | | |
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| Learning Outcomes: |
| Knowledge: |
| K1. | Describe a set of data using appropriate statistical measures. |
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| K2. | Distinguish between hypothesis testing procedures in statistics. |
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| K3. | Analyse the relationship between two variables using linear regression. |
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| Skills: |
| S1. | Complete routine data management tasks and statistical analyses using R software. |
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| S2. | Perform formal statistical analysis of data from a variety of disciplines. |
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| S3. | Summarise data using graphs and tables. |
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| S4. | Select and perform appropriate hypothesis tests using R software. |
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| S5. | Formulate a simple linear regression model and determine the model functionality. |
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| S6. | Perform and interpret one- and two-way analyses of variance (ANOVA). |
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| S7. | Communicate results from statistical analyses using appropriate statistical conventions. |
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| Application of knowledge and skills: |
| A1. | Select, perform and justify appropriate statistical analysis for given data sets and problem situations. |
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| A2. | Produce clear, orderly and informative statistical summaries and technical reports. |
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| Other outcomes: |
| Unit Content: |
Topics may include:
- Introduction to the R environment.
- Data presentation and basic descriptive statistics.
- Discrete and continuous probability distributions.
- Estimation and hypothesis testing (t-tests for single sample, paired and independent).
- Non-parametric alternatives.
- ANOVA
- Chi-square tests.
- Simple linear regression.
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| Graduate Attributes: |
| Federation University recognises that students require key transferable employability skills to prepare them for their future workplace and society. FEDTASKS (Transferable Attributes Skills and Knowledge) provide a targeted focus on five key transferable Attributes, Skills, and Knowledge that are be embedded within curriculum, developed gradually towards successful measures and interlinked with cross-discipline and Co-operative Learning opportunities. One or more FEDTASK, transferable Attributes, Skills or Knowledge must be evident in the specified learning outcomes and assessment for each FedUni Unit, and all must be directly assessed in each Course.
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| FED TASK and descriptor | Development and acquisition of FEDTASKS in the Unit | | Level | FEDTASK 1
Interpersonal | Students at this level will demonstrate an advanced ability in a range of contexts to effectively communicate, interact and work with others both individually and in groups. Students will be required to display high level skills in-person and/or online in: • Using and demonstrating a high level of verbal and non-verbal communication • Demonstrating a mastery of listening for meaning and influencing via active listening • Demonstrating and showing empathy for others • High order skills in negotiating and conflict resolution skills\\ • Demonstrating mastery of working respectfully in cross-cultural and diverse teams. | Y - Present | FEDTASK 2
Leadership | Students at this level will demonstrate a mastery in professional skills and behaviours in leading others. • Creating and sustaining a collegial environment • Demonstrating a high level of self -awareness and the ability to self-reflect and justify decisions • Inspiring and initiating opportunities to lead others • Making informed professional decisions • Demonstrating initiative in new professional situations. | Y - Present | FEDTASK 3
Critical Thinking and Creativity | Students at this level will demonstrate high level skills in working in complexity and ambiguity using the imagination to create new ideas. Students will be required to display skills in: • Reflecting critically to generate and consider complex ideas and concepts at an abstract level • Analysing complex and abstract ideas, concepts and information • Communicate alternative perspectives to justify complex ideas • Demonstrate a mastery of challenging conventional thinking to clarify complex concepts • Forming creative solutions in problem solving to new situations for further learning. | Y - Present | FEDTASK 4
Digital Literacy | Students at this level will demonstrate the ability to work competently across a wide range of tools, platforms and applications to achieve a range of tasks. Students will be required to display skills in: • Mastering, exploring, evaluating, managing, curating, organising and sharing digital information professionally • Collating, managing complex data, accessing and using digital data securely • Receiving and responding professionally to messages in a range of professional digital media • Contributing competently and professionally to digital teams and working groups • Participating at a high level in digital learning opportunities. | Y - Present | FEDTASK 5
sustainable and Ethical Mindset | Students at this level will demonstrate a mastery of considering and assessing the consequences and impact of ideas and actions in enacting professional ethical and sustainable decisions. Students will be required to display skills in: • Demonstrate informed judgment making that considers the impact of devising complex solutions in ambiguous global economic environmental and societal contexts • Professionally committing to the promulgation of social responsibility • Demonstrate the ability to evaluate ethical, socially responsible and/or sustainable challenges and generating and articulating responses • Communicating lifelong, life-wide and life-deep learning to be open to the diverse professional others • Generating, leading and implementing required actions to foster sustainability in their professional and personal life | |
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| | Learning Outcomes Assessed | Assessment Tasks | Assessment Type | Weighting | Professional Standards |
| 1. |
K1, K2, K3, S1, S2, S3, S4, S5, S6, S7, A1 |
Weekly lab activities |
Online quizzes |
10-20% |
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| 2. |
K1, K2, K3, S1, S2, S3, S7, A1, A2 |
Documenting completed analysis tasks |
Analysis Report(s) |
20% - 30% |
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| 3. |
K1, K2, K3, S4, S7, A1, A2 |
Co-designed and collaborative statistical inference tasks using authentic data contexts. |
Interpreting and reporting on analysis for a particular audience (written reporting and / or presentations) followed by justification of analysis choices (oral discussion and / or quiz based) |
50% - 60% |
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