STAT8010 Research Method and Data Analysis
| Offered By | School of Finance and Applied Statistics |
|---|---|
| Academic Career | Graduate Coursework |
| Course Subject | Statistics |
| Offered in | First Semester, 2009 and First Semester, 2010 |
| Unit Value | 6 units |
| Course Description |
This course examines the key elements of undertaking a research project with an empirical flavour, and provides guidance on the use of various statistical tools and techniques in the analysis of data. The course is not designed as a replacement for more formal and deeper analysis of specific statistical methods. Rather, it is a refresher for those seeking to revive their basic research skills and also serves as an introduction for those seeking to go onto further study in specific statistical techniques. The course would be of interest to Honours and Postgraduate students and should complement studies that involve statistical method and/or research projects. Section 1: The Research Process (Introduction to Research Theory, Development of Knowledge, Steps in the Research Process) Section 2: Sourcing Relevant Information (Information Resources, Literature Review, Referencing, DataStream Tutorial) Section 3: Data Gathering (Bias, Precision and Relevance, Types of Data, Handling Missing Data) Section 4: Data Presentation Techniques (Identification of Data Structure, Graphical Description, Numerical Description Section 5: Review of Hypothesis Testing Ideas (Statistical Questions: Populations versus Samples, Confidence Intervals, Structure of Hypothesis Tests, Developing Hypotheses, Decision-Making and Types of Error) Section 6: Analysis and Applications (Deciding on the Type of Test, Specifying an Appropriate Model, Assessing Model Assumptions and Fit, Model Revision and Issues of Robustness, Computer-based Applications) |
| Learning Outcomes |
By the end of this unit, students are expected to have attained proficiency in the following areas:
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| Indicative Assessment |
Assessment is based on a research proposal to be submitted at the end of the term. |
| Workload | 10 hours / week |
| Course Classification(s) | TransitionalTransitional courses are designed for students from a broad range of backgrounds and learning achievements, which provide for the acquisition of generic skills; or an informed understanding of contemporary issues; or fundamental knowledge for transition to Advanced or Specialist courses. |
| Areas of Interest | Statistics |
| Eligibility | At least an average of 65% (or equivalent) in the final two years of an Australian undergraduate degree with at least two years of university level statistical and mathematical study including calculus and linear algebra, as well as mathematical statistics and linear regression theory. |
| Consent Required | Departmental Consent Required |
| Prescribed Texts |
See Course Outline: http://ecocomm.anu.edu.au/courses/outline/STAT8010.pdf |
| Preliminary Reading |
See Course Outline: http://ecocomm.anu.edu.au/courses/outline/STAT8010.pdf
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| Indicative Reading List | See Course Outline: http://ecocomm.anu.edu.au/courses/outline/STAT8010.pdf |
| Programs | Master of Commerce |
| Other Information |
For further information please refer to http://ecocomm.anu.edu.au/courses/course.asp?code=STAT8010 |
| Academic Contact | See http://ecocomm.anu.edu.au/courses/course.asp?code=STAT8010 |
The information published on the Study at ANU 2009 website applies to the 2009 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2008 website.
