Programme/Approved Electives for 2023/24
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 : 1,2use 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: 1,2
24 hours lectures12 hours examples classes12 hours lab sessions102 hours of independent studies, including: 36 hours independent working on lecture material12 hours preparation to examples classes18 hours independent working on coursework36 hours revising for exam
Description of Module Assessment
1: Coursework weighted 30%Coursework AssignmentStudent will receive a real dataset to analyse using the R software package. They will have a series of questions to answer that will lead them through analysis of the data, from summarising the data using suitable summary statistics and plots through to performing hypothesis tests and fitting linear regression models. Students will need to interpret and clearly report their findings for each question.
2: Exam weighted 70%ExamA standard 2h exam, within which students will be asked to answer approximately 5 questions covering the different topics covered throughout this module, all of which are compulsory