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Curricular information is subject to change
On completion of this module, students should have acquired the following skills:
- Perform basic inference for comparing two populations
- Being able to analyze and perform inference on categorical data in the form of frequency tables
- Fit, assess and use the simple linear regression model
- Conduct analysis of variance for comparing multiple populations and investigate effect of factors
- Use the statistical software R to implement the methods and being able to interpret the relevant output
- Have a general understanding of all the statistical methods introduced and being able to use them according to the context and purpose of analysis
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Tutorial | 5 |
Computer Aided Lab | 5 |
Autonomous Student Learning | 90 |
Total | 124 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Assignment(Including Essay): Written and coding assignments | n/a | Standard conversion grade scale 40% | No | 25 |
|
Quizzes/Short Exercises: Online quizzes | n/a | Standard conversion grade scale 40% | No | 15 |
|
Exam (In-person): End of semester examination | n/a | Standard conversion grade scale 40% | No | 60 |
Resit In | Terminal Exam |
---|---|
Autumn | Yes - 2 Hour |
• Group/class feedback, post-assessment
Not yet recorded.
Name | Role |
---|---|
Dr Codrin Andrei | Lecturer / Co-Lecturer |
Kate Finucane | Tutor |
Ms Hannah Kane | Tutor |
Brian O'Sullivan | Tutor |
Dr Fabian Ofurum | Tutor |
Yinshen Xu | Tutor |