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Curricular information is subject to change
Students will be able to critically assess studies in the literature and will be able to compute relevant descriptive statistics, conduct hypothesis tests and apply basic regression models to data. They will also be required to conduct a study of their own during the course. The course will require studens to become familiar with the use of statistical software. Finally they will gain experience in writing a research report.
Student Effort Type | Hours |
---|---|
Lectures | 18 |
Autonomous Student Learning | 101 |
Total | 119 |
While no knowledge of statistics and probability is assumed, it would be beneficial if students had some prior knowledge.
Remediation Type | Remediation Timing |
---|---|
In-Module Resit | Prior to relevant Programme Exam Board |
• Group/class feedback, post-assessment
Assessment will be by MCQ, once the MCQs have been graded feedback will be provided in class not online.