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Curricular information is subject to change
On successful completion of this module students should have developed skills in questionnaire design and be able to differentiate between sampling and non-sampling errors. Students should be able to propose an appropriate sampling scheme to address a wide range of research questions.
Students should have knowledge of the main types of sampling schemes, the advantages and disadvantages of each, how to choose sample size and be able to produce estimates and confidence intervals. In addition students should be able to explain the connection between the methods used here and those used in an introductory statistics course.
Students should be able to able to conduct analyses from each sampling scheme using the software R.
Keywords.
Questionnaire design; Simple random sampling; Stratified sampling; Cluster sampling; Ratio estimation; Systematic sampling; Sample size calculations; Capture-recapture; Non-response adjustments.
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Tutorial | 5 |
Computer Aided Lab | 4 |
Specified Learning Activities | 30 |
Autonomous Student Learning | 48 |
Total | 111 |
A knowledge of statistical inference to the level of Inferential Statistics STAT20100 is required. A knowledge of calculus and linear algebra to the level of First Science is required.
Learning Recommendations:A knowledge of probability to the level of Probability Theory STAT20110 is desirable.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Continuous Assessment: Combination of Group Projects, assignments and in class quizes. | Throughout the Trimester | n/a | Alternative linear conversion grade scale 40% | No | 100 |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Assignments will be graded and feedback on each assignment will be provided for each student individually. Group feedback will be provided in tutorials.
Name | Role |
---|---|
Assoc Professor Patrick Murphy | Lecturer / Co-Lecturer |