This unit builds upon first year units that teach statistics. The emphasis in this unit is on training scientists to be literate in statistical issues so that both “consumers” and “producers” of data analysis will be able to effectively communicate. Students will be able to critically assess, understand, and use qualitative and quantitative information that has been collected, analysed and presented by scientists from a range of disciplines. This will be achieved by providing a conceptual understanding of the methods of data analyses commonly used by scientists. Given the type of question asked and the data collected, students will be able to present and communicate data/information using statistics as a tool.
|Unit name||Data Analysis and Presentation|
|College/School||College of Sciences and Engineering
Institute for Marine & Antarctic Studies
|Discipline||Ecology and Biodiversity|Fisheries and Aquaculture|Oceans and Cryosphere|
|Coordinator||Doctor Jennifer Lavers|
|Available as student elective?||Yes|
|Delivered By||University of Tasmania|
|Location||Study period||Attendance options||Available to|
|Hobart||Semester 2||On-Campus||Off-Campus||International International||Domestic Domestic|
- International students
- Domestic students
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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
|Study Period||Start date||Census date||WW date||End date|
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Unit census dates currently displaying for 2022 are indicative and subject to change. Finalised census dates for 2022 will be available from the 1st October 2021.
- Identify appropriate experimental designs for hypothesis testing in the social & natural sciences
- Describe the type of data/information and methods for collecting data/information used by social & natural scientists
- Demonstrate the ability to carry out a statistical analysis using Rcmdr
- Select and justify the correct data analysis technique to use given the research question and effectively communicate information from a data analysis output to specialists and non-specialists
- Critically assess data/information analysed and presented by social and natural scientists
|Field of Education||Commencing Student Contribution 1||Grandfathered Student Contribution 1||Approved Pathway Course Student Contribution 2||Domestic Full Fee|
- Available as a Commonwealth Supported Place
- HECS-HELP is available on this unit, depending on your eligibility3
- FEE-HELP is available on this unit, depending on your eligibility4
1 Please refer here more information on student contribution amounts.
2 Information on eligibility and Approved Pathway courses can be found here
3 Please refer here for eligibility for HECS-HELP
4 Please refer here for eligibility for FEE-HELP
Please note: international students should refer to this page to get an indicative course cost.
Weekly for 13 weeks, 2 h lectures, 0 tutorials, 3 h computer-based practicals. Students enrolled as on-campus are expected to attend pracs face-to-face - attendance is compulsory and will be recorded on a weekly basis.
|Assessment||Mid-semester Test (25%)|Final exam (45%)|two-way ANOVA (12.5%)|Paper critique (5%)|Chi-square OR Regression (12.5%)|
|Timetable||View the lecture timetable | View the full unit timetable|
There are no required texts for this unit
A recommended reading list will be available through MyLO.
|Links||Booktopia textbook finder|
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