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Unit (2020)

Information on this page, including unit offerings, is from the 2020 academic year.

Statistical Data Analysis (MAS183)

Organisational Unit Information Technology, Mathematics and Statistics
Credit Points 3
Availability MURDOCH: S1-internal, S1-external, S2-internal, S2-external
Teaching Timetables Murdoch S1
Murdoch S2
Description MAS183 introduces students to data collection methods and statistical analyses common in the life and health sciences. Topics: summarising data with numbers and graphs, describing and comparing data distributions, probability and sampling distributions, sampling methods, statistical inference foundations (estimation and hypothesis testing), comparing measurements or proportions between groups, analysing relationships between variables, non-parametric methods. Throughout, students use statistical software, interpret its output, and report their conclusions.
Unit Learning Outcomes On successful completion of this unit, students should be able to:
1. use descriptive techniques to summare and interpret data;
2. apply probability concepts relating to diagnostic testing and sampling distributions;
3. apply hypothesis testing and interval estimation to diverse types of data;
4. recognise the relative statistical quality of data;
5. assess the extent to which statistical analyses may (or may not) be valid;
6. perform statistical analyses using computer software;
7. communicate the content and conclusions of basic statistical analyses.
Timetabled Learning Activities Lectures: 3 x 1 hour per week; laboratories/tutorials: 1 x 1 hour per week; optional Peer Assisted Study Session (PASS): 1 hour per week.
Unit Learning Experiences MAS183 uses a conversational learning approach that interweaves your private study and group learning with individual and group expression of your learning. The conversation begins with your pre-reading in preparation for lectures, followed by engagement with lecture content. Then in private study you digest this content and prepare for computer lab and/or tutorial work in which group-work and sharing of understanding is encouraged, and tutors provide feedback. In further private and/or group study you will reflect on this feedback to consolidate your learning. Learning Management System supports your learning activities by providing all unit information, learning materials and assignments in a timely way, as well as furthering the learning conversation via announcements and well-supported discussion fora.
Other Learning Experiences A range of optional tutorials, labs, clinics, workshops and peer study sessions provide learning help and enrichment as needed.
Assessment Your ability to correctly apply statistical methods will be assessed at regular intervals during the semester via assignments, tutorial participations and presentations (internal only), and mid-semester tests (internal only). These assessments are designed to allow you to demonstrate your ability in each of the content areas of the unit and to give you regular feedback on your progress, helping you to identify your areas of strength or weakness during the semester. Assignment solutions and results will be posted progressively on the Learning Management System.
The weightings for assessment items are as follows:
Internal Mode:
Assignments (4) - 20%
Class Participation - 5%
Tutorial Presentation - 5%
Mid-Semester Tests - 10%
Final Examination - 60%
Exernal Mode:
Assignments (4) - 30%
Final Examination - 70%
Prerequisites Nil.
Notes MAS183 assumes fluency in mathematics at about the level of Year 10 in Australian high schools. Students enrolling in MAS183 are invited to do a Maths Diagnostic Quiz which will refer them to maths learning support if this may be helpful. Please contact the Unit Coordinator if you have any concerns about your maths background.
Appears in these Courses/Majors:
see individual structures for context
Advanced Mathematics Major Teaching Area (BEd(Sec)) [New in 2019]
Animal Health (BSc) [New in 2015]
Animal Science (BSc) [New in 2014]
Biological Sciences (BSc) [New in 2014]
Biomedical Science (BSc) [New in 2020]
Biomedical Science (BSc) [New in 2014]
Clinical Laboratory Science (BSc) [New in 2015]
Clinical Laboratory Science (BSc) [New in 2020]
Conservation and Wildlife Biology (BSc) [New in 2014]
Criminology + Forensic Biology and Toxicology [Combined] (BCrim)+(BSc)
Crop and Pasture Science (BSc) [New in 2016]
Environmental Management and Sustainability (BSc) [New in 2014]
Environmental Science (BSc) [New in 2014]
Forensic Biology and Toxicology (BSc) [New in 2020]
Forensic Biology and Toxicology (BSc) [New in 2014]
Genetics and Molecular Biology (BSc)
Genetics and Molecular Biology (BSc) [New in 2014]
Laboratory Medicine (BSc/BLabMed) [New in 2016]
Marine Biology (BSc) [New in 2017]
Marine Science (BSc) [New in 2014]
Mathematics and Statistics (BSc) [New in 2014]
Mathematics Major Teaching Area (BEd(Sec)) [New in 2019]
Veterinary Science (BSc)+(DVM) [New in 2014]
Appears in these Co-Majors Mathematics Minor Teaching Area
Appears in these Minors Applied Statistics
Bioinformatics
Internet Access RequirementsMurdoch units normally include an online component comprising materials, discussions, lecture recordings and assessment activities. All students, regardless of their location or mode of study, need to have access to and be able to use computing devices with browsing capability and a connection to the Internet via Broadband (Cable, ADSL or Mobile) or Wireless. The Internet connection should be readily available and allow large amounts of data to be streamed or downloaded (approximately 100MB per lecture recording). Students also need to be able to enter into online discussions and submit assignments online.

Contacts

Unit Coordinator
MAS183
Dr Doug Fletcher
Associate Lecturer

Murdoch Campus
t: 9360 2419
e: d.fletcher@murdoch.edu.au
o: 245.3.025 - Science and Computing, Murdoch Campus
Unit Contacts
MAS183

MURDOCH: S1-External
MURDOCH: S1-Internal
MURDOCH: S2-External
MURDOCH: S2-Internal
Dr Doug Fletcher
Associate Lecturer

Murdoch Campus
t: 9360 2419
e: d.fletcher@murdoch.edu.au
o: 245.3.025 - Science and Computing, Murdoch Campus
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