Biological Data Analysis
Your upfront cost: $0
Subjects may require attendance
- 22 Feb 2021
This research-intensive university in north-western Sydney offers a range of undergraduate and postgraduate degrees. With over 30,000 current students, Macquarie has a strong reputation for welcoming international students and embracing flexible and convenient study options, including its partnership with Open Universities Australia.
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On successful completion of this unit, you will be able to:
- Develop testable hypotheses from general scientific questions
- Design an unconfounded experiment to test a given scientific hypothesis
- Choose an appropriate statistical test to analyse experimental data
- Carry out and correctly interpret a range of commonly used statistical tests using the computer package R
- Clearly present outcomes of statistical analyses using figures, tables and text
- Critically evaluate other studies with respect to experimental design and the application and interpretation of statistics
- A week-by-week guide to the topics you will explore in this subject will be provided in your study materials.
NCCW (pre-2020 units): BIOL235, PSY222, PSY248, STAT270, STAT271, BIOL603 Pre-requisite: 40cp at 1000 level or above including (((STAT1170 or STAT170(P)) or (STAT1250 or STAT150) or (STAT1371 or STAT171) or FOSE1015) and (10cp(P) in BBE or BIOL units)) NCCW (2020 and onwards): BIOL2610 Biological Data Analysis or STAT2170 Applied Statistics or BIOL6610 Biological Data Analysis or STAT2371 Statistics or PSYU2248 Design and Statistics II
No special requirements
Biological organisms are inherently variable, which means that practicing biologists need a solid grasp of how to design and implement experiments, perform statistical analyses on the resulting data, and correctly interpret the results of statistical tests. This unit provides a foundation in the principles of experimental design and data analysis for biology. The unit is taught by biology staff and draws on research carried out in the Department of Biological Sciences. Students also learn the overall process of asking and answering questions in biology. Students learn a range of common data analysis techniques, and how to interpret the outcomes of these analyses. There is a strong emphasis on critically evaluating biological studies and identifying sound conclusions and not-so-sound conclusions. This unit is strongly recommended for students planning a career in biology or environmental science.
- Weekly Practical (0%)
- Final Exam (45%)
- Exam of Basic Stats Knowledge (5%)
- Experiment Report (20%)
- Mid-semester Exam (15%)
- Weekly Quiz (15%)
Check the learning management system (LMS) of your university for textbook details.