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Curricular information is subject to change
On completion of this module students should be able to: Propose an appropriate experimental design to address a wide range of research questions. Analyse data from each of these designs. Prepare a report of the analysis for a non-statistical client. Select from a range of tools to develop a more parsimonious description of the data
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Tutorial | 6 |
Computer Aided Lab | 6 |
Autonomous Student Learning | 130 |
Total | 166 |
Knowledge of concepts hypothesis tests and confidence intervals. Knowledge of 1-sample problem, 2-sample problem and ANOVA for normal data. Comparison of proportions. Knowledge of linear regression.
Description | % of Final Grade | Timing |
---|---|---|
Examination: < Description > | 80 |
2 hour End of Trimester Exam |
Continuous Assessment: Approx. 8 assignments | 20 |
Varies over the Trimester |
Compensation
This module is not passable by compensation
Resit Opportunities
End of Semester Exam
Remediation
If you fail this module you may resit