MAT-10053 - Statistics
Coordinator: Kym Snell Tel: +44 1782 7 32915
Lecture Time: See Timetable...
Level: Level 4
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2021/22

None

Available as a Free Standing Elective

Yes

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2021/22

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: 1,2
apply elementary statistical concepts and terminology such as sampling distribution, confidence intervals and hypothesis tests: 1,2
conduct data analysis and statistical inferences, including confidence intervals and hypothesis tests, in situations and interpret the results of such analyses: 1,2
use statistical software to carry out data analysis, including presentation of graphical and numerical summaries: 1
communicate statistical conclusions clearly: 1,2

Study hours

24 hours lectures
12 hours example classes
12 hours lab sessions
102 hours private study

School Rules

None

Description of Module Assessment

1: Coursework weighted 20%
Coursework Assignment
Student 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 80%
Exam
Students will be asked to answer approximately 5 questions covering the different topics covered throughout this module, all of which are compulsory