This module introduces students to the basic concepts of probability and statistics, with applications to a variety of topics illustrated with real data. The techniques that are discussed can be used in their own right to solve simple problems, but also serve as an important foundation for later, more advanced, modules. Importantly, the module serves as a prerequisite for Stage 2 econometric modules ECON5800 and ECON5810.
The module commences with an overview of descriptive statistics. It then considers the key ideas in probability theory before moving on to statistical inference - the science of drawing conclusions from data. The main topics covered in the module include:
• Graphical and numerical analyses of data
• The principles of probability
• Probability Density Functions
• Sampling and its use in inference
• Regression and correlation
Total contact hours: 32
Private study hours: 118
Total study hours: 150
This module is compulsory for all students studying single and joint honours degrees in Economics.
This module is not available to students across other degree programmes in the University.
Method of assessment
• Term-time problem sets (20%)
• In Course Test 105 minutes (20%)
• Examination 2 hours (60%)
Reassessment: 100% exam
*for the 23-24 academic year exams will be in-person*
See the library reading list for this module (Canterbury)
On successfully completing the module students will be able to:
8.1 Organise, describe and summarise data
8.2 Understand the principles of probability
8.3 Understand the principles underlying sampling theory
8.3 Apply hypothesis testing and interval estimation to sample data
8.4 Use regression analysis to consider relationships between two variables
Back to top
Credit level 4. Certificate level module usually taken in the first stage of an undergraduate degree.
- ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
- The named convenor is the convenor for the current academic session.
University of Kent makes every effort to ensure that module information is accurate for the relevant academic session and to provide educational services as described. However, courses, services and other matters may be subject to change. Please read our full disclaimer.