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MAT-10053 - Module Specification
School of Computing and Mathematics
Faculty of Natural Sciences

For academic year: 2022/23 Last Updated: 19 January 2023

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 2022/23

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2022/23


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

Please note that for the 2022/23 Academic Year programmes may be adapted to operate in accordance with a flexible, digital approach. This means that there may be some changes made to how modules are delivered and assessed. The latest information will be provided to you by your School in module handbooks. We endeavour to give you as much notice as possible of any changes and details about the circumstance in which changes are made to programmes can be found in the Student Agreement, available at: https://www.keele.ac.uk/student-terms-and-conditions/

Last Updated: 19 January 2023