- Course Code
- PO 2504
- Credit Points
- 15
- Course Coordinator
- Dr D Roberts
Pre-requisites
None.
Overview
The course provides an introduction to the following concepts in an accessible and straightforward manner:
Graphical techniques for summarising data;
Summary descriptive measures of central location and variability;
Index numbers;
Probability and probability distributions;
Confidence intervals;
Hypothesis testing;
The ?? and F distributions;
Correlation;
Regression analysis
Time series analysis and forecasting
Structure
2 one-hour lectures per week and 1 one-hour tutorial for eight weeks, supplemented by 2 one-hour computer workshops in the sixth and ninth week of the course.
Assessment
1st Attempt: 1 two-hour examination (70%); continuous assessment (30%) consisting of an in-course test (10%) and a graded written assignment (20%) of 1,500 words in length.
Resit: 1 two-hour written examination (70%) with in-course assignment mark and in-course test marks carried forward.
Formative Assessment
This will take place via weekly tutorial exercises and in the computer workshops.
Feedback
Oral feedback is given during tutorials and model answers provided to tutorial exercises. Model answers will also be provided for the in-course test while individual written feedback will be provided for the course assignment.