MAT-10059 - Fundamentals of Statistics with Applications in R
Coordinator:
Lecture Time: See Timetable...
Level: Level 4
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2024/25

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2024/25

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
: 2
use various statistical tools to analyse real data sets in the statistical software environment R: 1
present the results of statistical data analysis including graphical and numerical summaries to an audience with diverse statistical knowledge: 2

Study hours

24 hours lectures
24 hours examples classes
12 hours lab sessions
90 hours of independent studies, including:
36 hours independent working on lecture material
12 hours preparation to examples classes
12 hours independent working on the assignment
30 hours revising for exam


School Rules

None

Description of Module Assessment

1: Assignment weighted 30%
Assignment


2: Exam weighted 70%
Exam