Show/hide contentOpenClose All
Curricular information is subject to change
On completion of this module, students should be able to:
Prepare spreadsheet models to store, manipulate and analyse quantitative data using common probability distributions and statistical functions.
Calculate, analyse and present useful statistical measurements from large-scale data sets.
Create and interpret inferential statistical statements about population parameters.
Interpret the results of data analyses with a view to informing decision making,
Create and interpret simple linear regression models.
Student Effort Type | Hours |
---|---|
Lectures | 20 |
Specified Learning Activities | 85 |
Autonomous Student Learning | 125 |
Total | 230 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Continuous Assessment: Continuous Assessment | Varies over the Trimester | n/a | Graded | No | 40 |
Examination: End of module examination | 2 hour End of Trimester Exam | No | Graded | No | 60 |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Group/class feedback, post-assessment
General feedback is provided to students on all their submitted assessment components.
Name | Role |
---|---|
Jonas Lee | Lecturer / Co-Lecturer |
Assoc Professor Sean McGarraghy | Lecturer / Co-Lecturer |
Dr Christina Burke | Tutor |
Soh Cheong Hian | Tutor |
Hafihz Noor | Tutor |
Chandra Reddy | Tutor |
Rachel Sim | Tutor |
Caleb Tan | Tutor |
Chee Shong Tan | Tutor |
Charlene Tan Puay Koon | Tutor |