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Unit (2016)

Information on this page, including unit offerings, is from the 2016 academic year.

Statistical Data Analysis (MAS183)

Organisational Unit School of Engineering and Information Technology
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 analysis techniques commonly encountered in the life and health sciences. Topics: numerical and graphical description of data, probability and sampling distributions, sampling methods, basic statistical inference (confidence intervals and hypothesis testing), statistical analysis of relationships, non-parametric methods using statistical software and interpreting its output, reporting statistical conclusions, interpreting statistical results reported in scientific literature.
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.
Other Learning Experiences A range of optional tutorials, labs, clinics, workshops and peer study sessions provide learning help and enrichment as needed.
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
Appears in these Minors Applied Statistics
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.


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