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 Joel Williams|
|Available as an elective?||Yes|
|Delivered By||University of Tasmania|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
Please check that your computer meets the minimum System Requirements if you are attending via Distance/Off-Campus.
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 (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2023 are indicative and subject to change. Finalised census dates for 2023 will be available from the 1st October 2022. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
- 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|
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
Please note: international students should refer to What is an indicative Fee? 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%)|Paper critique (5%)|two-way ANOVA (12.5%)|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|
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.