What you will study
This module builds on the statistics introduced at level 1 through the OU module Introducing statistics (M140). The module will investigate a greater range of statistical techniques than those introduced at level 1, and will also provide a deeper understanding of the techniques that were introduced.
In this module you will explore the fundamental statistical techniques which can be used to analyse data to answer real, practical, questions such as ‘Does drug A work better than drug B?’ and ‘How often do major earthquakes occur?’
The starting point for answering such questions is to model the variation in data: some of the most commonly used models for variation are considered in the first part of the module and some of their properties are investigated. The module then goes on to develop statistical techniques for using data and models of the variation to draw conclusions and answer questions of interest: the specific statistical techniques studied in the module include estimation, confidence intervals, hypothesis tests and regression.
An important skill for any statistician is the ability to communicate their statistical analysis clearly to others, both statisticians and non-statisticians. Statistical report writing is considered in one of the final units of the module.
In addition to the module texts, student learning is supported throughout by short video presentations, computer animations and online interactive practice quizzes.
You can find the full content list on the Open mathematics and statistics website.
You will learn
Successful study of this module should improve your skills in analysing and interpreting data.
Vocational relevance
The ability to analyse and interpret data is central to many careers in, for example, government, health, business, finance and market research. The material in this module explores the fundamental statistical techniques required for analysing and interpreting data. Statistical software packages are important data analysis tools for practising statisticians: the use of one such statistical software package is integral to this module. Another important skill required by practising statisticians, is the ability to communicate the results from their data analyses: this skill is developed through statistical report writing.
Professional recognition
This module may help you to gain membership of the Institute of Mathematics and its Applications (IMA). For further information, see the IMA website.
This module may also help you to apply for the professional award of Graduate Statistician conferred by The Royal Statistical Society (RSS).