Programme/Approved Electives for 2024/25
None
Available as a Free Standing Elective
No
This module provides an introduction to common statistical techniques for exploring, summarising and modelling data. Through this module, the students will be able to build up appropriate statistical knowledge, using the R statistical software package, analyse a real-life dataset and interpret the results clearly. These analytical skills are crucial for their future careers and further study.
Aims
The module aims to help students to:1) have a sound knowledge of statistical concepts, skills and techniques;2) apply statistical ideas to solve problems from a wide range of disciplines;3) be competent in interpreting and explaining solutions of problems in non-technical language;4) be fluent in procedural skills, common problem-solving skills and strategies;5) use statistical tools to analyse real data sets using statistical software.
Intended Learning Outcomes
describe and illustrate data using suitable summary statistics and plots : 1,2apply elementary statistical concepts and terminology such as sampling distribution, confidence intervals, and hypothesis tests : 1,2conduct data analysis and statistical inferences, including confidence intervals and hypothesis tests, in situations and interpret the results of such analyses : 2use various statistical tools to analyse real data sets in the statistical software environment R: 1present the results of statistical data analysis including graphical and numerical summaries to an audience with diverse statistical knowledge: 2
24 hours lectures24 hours examples classes12 hours lab sessions90 hours of independent studies, including: 36 hours independent working on lecture material12 hours preparation to examples classes12 hours independent working on the assignment30 hours revising for exam
Description of Module Assessment
1: Assignment weighted 30%Assignment
2: Exam weighted 70%Exam