MATH1825 Statistics Through Applications
10 Credits Class Size: 100
Module manager: Chris Fallaize
Email: chrisf@maths.leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running
2010/11
Pre-requisite qualifications
A-level maths or equivalent.
Co-requisites
This module is approved as an Elective
Module summary
This module introduces Exploratory Data Analysis, sample size and power and non-paramteric testing.
Students will:
- gain experience in simple statistical analysis of open-ended problems and be introduced to key skills
- improve familiarity with the statistics package R.
Objectives
On completion of this module, students should be better able to:
a) choose, compare and contrast simple methods for exploring data on a single variable, or the relationship between two variables;
b) calculate statistical power and required sample size for situations that can be analysed using one or two sample t-tests;
c) implement one sample Wilcoxon signed rank tests, sign tests and two sample Wilcoxon rank sum tests on data where the assumptions of one or two sample t-tests are not satisfied;
d) write coherently structured and referenced statistical reports using information from more than one source;
e) effectively manage time when working to a deadline;
f) plan, design and carry out simple statistical analyses on an open-ended problem;
g) use the statistics package R to carry out standard tests and calculations;
h) work together to present results in oral and written form as part of a group.
Syllabus
1. Techniques for data analysis using R. The material covered will include simple EDA, transformations, probability plots and normality testing, one and two sample t-tests, non-parametric tests, power and sample size calculations.
2. Solving problems using statistical modelling techniques. A series of problems will be used to drive the models and techniques.
3. Case studies, group projects and presentations.
Teaching Methods
| Delivery type |
Number |
Length hours |
Student hours |
| Lecture |
11 |
1 |
11 |
| Tutorial |
5 |
1 |
5 |
| Private study hours |
84 |
| Total Contact hours |
16 |
| Total hours (100hr per 10 credits) |
100 |
Methods of Assessment
Coursework
| Assessment type |
Notes |
% of formal assessment |
| Practical Report |
. |
100 |
| Total percentage (Assessment Coursework) |
100 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading List
The reading list is available from the Library website
Last updated: 4/1/2011
Errors, omissions, failed links etc should be notified to the Catalogue Team