Foundation Statistics - 2024 entry

In this module you will earn an understanding of statistical modelling and how it is used to help us understand and predict the world around us. Statistics is the study and analysis of data which is usually applied to a scientific problem in order to draw conclusions about a population. In this module you will learn about mathematical models in probability and statistics; correlation and regression; inference and comparison of models; discrete and continuous distribution; sampling and hypothesis testing to statistical modelling. You will apply the theory to analyse and draw conclusions from a range of real-world data sets. The module will provide you with skills bridging the gap between the material covered prior to a university level and that of a first year degree programme. 

You will have weekly scheduled sessions led by the module instructor/convenor. During those sessions you will be introduced to the topic through lecture presentations, learning materials, worked examples provided exercise worksheet, and computer lab practicals. In this module you will learn how to: analyse and interpret data using R; capply and present probability distributions for discrete and continuous random variables; perform sampling and hypothesis testing; present findings and communicate results in a coherent way. You will be assessed through a combination of summative assessments: 2 online reports, a test, and a final exam.

Module Specific Skills and Knowledge:

1 Demonstrate a sound understanding of selected essential topics in probability theory

2 Demonstrate an ability to implement theoretical concepts to describe and predict real-world problems;

3 Demonstrate a knowledge of the basic ideas of statistical inference, including probability distributions, point and interval estimation and hypothesis testing;

 

Discipline Specific Skills and Knowledge:

4 Show sufficient knowledge of fundamental mathematical and statistical concepts, manipulations and presentation of results.

5 Demonstrate an appreciation of inferential statistical concepts and predicted outcomes

 

Personal and Key Transferable/ Employment Skills and Knowledge:

6 Be able to provide thorough reasoning using abstract ideas, and to formulate and solve problems; 

7 Be able to communicate results and solutions effectively orally and in writing;

8 Use learning resources appropriately;

9 Exhibit self-management and time management skills.

 

Deferral – if you have been deferred for any assessment, you will be expected to complete relevant deferred assessments as determined by the Mitigation Committee. The mark given for re-assessment taken as a result of deferral will not be capped and will be treated as it would be if it were your first attempt at the assessment.

 

Referral – Reassessment will be by a single written exam worth 100% of the module only. The mark given for a re-assessment taken as a result of referral will be capped at 40%.