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Curricular information is subject to change
On successful completion of this module, you should be able to apply statistical concepts and econometric models and interpret the results. Specifically, you should be able to:
• select the appropriate among a set of statistical approaches, apply it to a data set and interpret its results
• explain the meaning and purpose of econometric analysis
• understand concepts and assumptions of the linear regression model
• critically evaluate linear and non-linear regression models and discuss potential problems
• estimate and interpret statistics using the computer software SPSS
• Surveys, samples and data
• Descriptive statistics and visualizations for single variables and relationships between variables
• Inferential statistics including hypothesis test and confidence intervals
• Linear regression with one variable
• Linear regression with multiple variables
• Non-linear regression (polynomial, logarithmic, interaction effects)
Student Effort Type | Hours |
---|---|
Lectures | 18 |
Computer Aided Lab | 18 |
Specified Learning Activities | 12 |
Autonomous Student Learning | 60 |
Total | 108 |
This module will build on the material covered in an “Introduction to Statistics” course, such as Applied Biostatistics (FOR20100).
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Group Project: Group Project Report & Presentation | Coursework (End of Trimester) | n/a | Standard conversion grade scale 40% | No | 60 |
Continuous Assessment: Continuous assessments | Throughout the Trimester | n/a | Standard conversion grade scale 40% | No | 40 |
Resit In | Terminal Exam |
---|---|
Spring | No |
• Group/class feedback, post-assessment
Solutions to assessments will be discussed interactively in class after the assessment.