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2010/11 Undergraduate Module Catalogue

MATH1825 Statistics Through Applications

10 creditsClass 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

MATH1725Introduction to Statistics

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 typeNumberLength hoursStudent hours
Lecture111.0011.00
Tutorial51.005.00
Private study hours84.00
Total Contact hours16.00
Total hours (100hr per 10 credits)100.00

Methods of assessment


Coursework
Assessment typeNotes% of formal assessment
Practical Report.100.00
Total percentage (Assessment Coursework)100.00

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: 01/04/2011

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