AS2A1-Statistics for Life Sciences
Module Provider: Mathematics and Statistics
Number of credits: 10 [5ECTS credits]
Level:
5
Terms in which taught: Autumn
Module Convenor: Mr
AA
Leidi
Pre-requisites:
Co-requisites:
Modules excluded: AS2B1
Module version for: 2011/2
Email: A.A.Leidi@reading.ac.uk
Aims:
This module provides an introduction to statistics for undergraduates in the life sciences. The emphasis throughout is on practical data analysis using a statistical software package, in this case Minitab. The course covers some basic statistical principles and methods of analysis, and explores how to choose and apply appropriate methods to data and interpret the results. In addition, the course briefly looks at some basic principles for designing studies and the consequences for analysis.
Assessable learning outcomes:
On completion of this module students will have acquired:
the ability to recognise different types of data and data structures
the ability to describe data using simple summary statistics
an understanding of basic statistical inference
the ability to identify appropriate statistical methods (linear regression, analysis of variance, t-tests, Chi-squared test) to answer specific questions about a set of data
an understanding of the basic principles of study design and consequences for analysis
the ability to use Minitab to carry out appropriate data analysis and interpret results
Additional outcomes:
Outline content:
The course will provide a basic introduction to statistical ideas, mainly in data analysis. Topics covered are:
Different types of data
Descriptive statistics, in particular concepts of location and variability
Probability distributions, in particular the normal distribution
Populations and samples
Estimation and confidence intervals
Significance and hypothesis testing, including t-tests
Comparing means, using t-tests and analysis of variance
Linear regression
Analysis of categorical data
Study objectives, design and analysis, including experimental design, replication and blocking.
Brief description of teaching and learning methods:
Lectures supported by MINITAB computing practicals.
Contact hours:
| |
Autumn |
Spring |
Summer |
| Lectures |
18 |
|
|
| Tutorials/seminars |
|
|
|
| Practicals |
9 |
|
|
| Other contact (eg study visits) |
|
|
|
| Total hours |
27 |
|
|
| Number of essays or assignments |
4 |
|
|
| Other (eg major seminar paper) |
|
|
|
Assessment:
Coursework
Four assignments, worth 10% each
Relative percentage of coursework: 40%
Penalties for late submission:
Penalties for late submission of course work will be in accordance with University policy.
Examination:
One examination paper of 1.5 hours duration
Relative percentage of examination: 60%
Requirement for a Pass
An overall mark of at least 40%
Reassessment arrangements
One examination paper of 2 hours duration to be taken in August/September.
Last updated: 18 August 2011