Upon successful completion of this module you will be able to:
1. interpret data in tables and graphs with a special emphasis on data involving two variables (bivariate data);
2. use skills developed in earlier modules to assess the quality of data;
3. demonstrate an understanding of the role of hypothesis development in deciding whether or not an effect is present in a population;
4. demonstrate an understanding of the concepts of association and causation;
5. assess the production, representation and interpretation of data.
6. Implications are made from the results of the study for public health policy and government spending/priorities - which in this case is the need to reduce pollution levels in Sydney.
Unless otherwise noted, content on this website is licensed under a Creative Commons Attribution 2.5 Australia Licence together with any terms, conditions and exclusions as set out in the website Copyright notice. For permission to do anything beyond the scope of this licence and copyright terms contact us.