Numeracy and Data in Practice
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- 20 Feb 2023
- 10 Jul 2023
Australia’s fourth oldest university, the University of Tasmania, is highly regarded internationally for teaching and academic excellence. The university offers more than 100 undergraduate degrees and more than 50 postgraduate programs across a range of disciplines. The university offers students a diverse range of opportunities, the chance to learn from leading experts, and excellent preparation for their future careers.
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Our student advisors are here to guide you with:
- Enrolling and eligibility
- Fee and loan information
- Credit and recognition for prior learning
Upon completion of this subject, the student should be able to:
- Identify and describe research methods, data collection and analysis techniques for a variety of academic contexts
- Communicate numerical ideas and information in a range of formats
- Examine research sources and evaluate numerical evidence to inform decision making or practice
- Module 1: Introduction - The Research Cycle
- Module 2: Locating reliable information - ‘I Googled it!’
- Module 3: Research design, collecting data & tables
- Module 4: Representing data - bar charts & line graphs
- Module 5: Averages, distributions & histograms
- Module 6: Boxplots - is there a difference?
- Module 7: Scatter Plots, correlation & predictions
- Module 8: Percentages, probability & modelling
- Module 9: Estimating - is my answer reasonable or not?
- Module 10: Making Informed Decisions (causation)
- Module 11: Communicating Conclusions (Report Writing)
- Module 12: Working with weighted averages
- Module 13: Where to next? Preparation for further study
In order to enrol in this subject, you must be accepted into one of the following degrees:
No additional requirements
In this subject you will focus on the evaluation of quantitative information, in both everyday and academic situations. This subject will introduce you to research methodologies and frameworks to assess the reliability of online data sources. You will learn how to analyse and interpret numerical data and critically evaluate standard presentation methods, including column charts, line graphs, histograms, boxplots, scatterplots, and pie charts. You will also learn how to make informed decisions based on quantitative evidence and communicate your conclusions in a formal report style.
- The Research Process Learning Log (20%)
- Data Collection, Representation, and Analysis 1 (20%)
- Data Collection, Representation, and Analysis 2 (20%)
- Evaluating Research (40%)
For textbook details check your university's handbook, website or learning management system (LMS).