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 2020/21

None

Available as a Free Standing Elective

Yes

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2020/21

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 model, using statistical software (e.g. R or Python), analyse a real-life dataset and interpret the results clearly to a variety of audiences. 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: 1,2
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: Assignment weighted 20%
on-line assignment
The project will request students to carry out and present statistical analysis based on real data sets. It involves the theoretical analysis of the studied problem, the conception of the data analysis, its realization in a statistical software, summarizing the analysis in a written report (approx 1000 words) with professional presentation.

2: Open Book Examination weighted 80%
2 hour online exam
Students will be asked to answer all the questions (with the help of statistical software) from the assignment and submit a comprehensive solution. This will cover areas such as Hypothesis testing, confidence intervals and significance level.

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

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