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Linear statistical modelling

This module covers statistical modelling where a response variable depends on one or several explanatory variables: such as how well patients respond to a treatment, given their age and disease severity; or how different strains of wheat compare when grown in various conditions. Taking a practical approach, you’ll use real problems and data to stimulate analyses and their interpretation. Statistical tools are introduced, and use of the statistical software package, GenStat (supplied) is taught. You need a reasonable understanding of basic statistical ideas, as developed by Analysing data (M248). You’ll learn to use the most important methods of analysing data – a skill that too few people have.

Modules count towards OU qualifications

OU qualifications are modular in structure; the credits from this undergraduate-level module could count towards a certificate of higher education, diploma of higher education, foundation degree or honours degree.

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Module

Module code
M346
Credits
30
Study level
OU SCQF FHEQ
3 10 6
Study method
Distance Learning
Module cost
See Module registration
Entry requirements
See Am I ready?

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What you will study

This module is about the statistical modelling of situations in which a response variable depends on at least one explanatory variable. It offers a practical treatment of an important area of statistical methodology, applicable in a wide variety of situations. For example, it enables us to deal with questions such as how cavity wall insulation will affect the total energy consumption of a house; or how the probability of a successful bone marrow transplant is influenced by the ages of the donor and recipient, and other factors; or how loss due to abrasion might depend on the hardness and tensile strength of samples of rubber. M346 uses real problems and data to stimulate analyses and their interpretation. Technical background is not ignored, but the main emphasis is on the knowledge needed to analyse data effectively.

The module begins with a general introductory unit, including a review of the general statistical methods and concepts that will be used later. The next unit gives a complete introduction to using the statistics package GenStat for Windows (which is supplied). We then move on to the basic linear regression model, extensions of which are the core of this module. Subsequent units introduce a wide variety of linear statistical modelling tools: one-way analysis of variance, multiple regression, more general analysis of variance and designed experiments. All these are widely applicable cases of the normal linear model. Further units develop linear modelling in the more general framework of the generalised linear model: binary regression; the full generalised linear model; diagnostic checking; and log-linear modelling. A closing unit applies the methods you have learnt to the analysis of further data sets. The GenStat package is extensively used throughout the module to perform the necessary calculations and analyses.

You will learn

Successful study of this module should enhance your skills in analysing and interpreting data.

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.

Teaching and assessment

Support from your tutor

You will have a tutor who will help you with the study material and mark and comment on your written work, and whom you can ask for advice and guidance. We may also be able to offer group tutorials or day schools that you are encouraged, but not obliged, to attend. Where your tutorials are held will depend on the distribution of students taking the module.

Contact our Student Registration & Enquiry Service if you want to know more about study with The Open University before you register.

Assessment

The assessment details for this module can be found in the facts box above.

Please note that tutor-marked assignments (TMAs) for all undergraduate mathematics and statistics modules must be submitted on paper as – due to technical reasons – we are unable to accept TMAs via our eTMA system.

Future availability

The details given here are for the module that starts in October 2014. We expect it to be available once a year.

Regulations

As a student of The Open University, you should be aware of the content of the Module Regulations and the Student Regulations which are available on our Essential documents website.

Course work includes:

4 Tutor-marked assignments (TMAs)
Examination
No residential school

Course satisfaction survey

See the satisfaction survey results for this course.


Entry

This is an OU level 3 module. OU level 3 modules build on study skills and subject knowledge acquired from studies at levels 1 and 2. They are intended only for students who have recent experience of higher education in a related subject, preferably with the OU. 

You need a basic knowledge of the ideas of statistical science at the level of Analysing data (M248): a theoretical grounding is not expected, but you should have a conceptual understanding of basic topics and should be able to apply the ideas and interpret the answers they give. The topics include histograms, boxplots and scatterplots; normal, Poisson and binomial distributions; the central limit theorem; confidence intervals; hypothesis testing; simple linear regression; correlation. All these are reviewed in the early units of the module. 

Some experience of using a statistical software package is expected, although you are not expected to be familiar with GenStat. If you used MINITAB in M248 you will have the necessary expertise. The module also requires a mathematical knowledge similar to that expected in an introductory statistical module such as M248. You are expected to be familiar with mathematical notation, to be able to follow short algebraic arguments, to handle the logarithm and exponential functions, and to use formulae. You will not be expected to follow complicated algebraic arguments or to produce a great deal of algebra in your written work. 

To help determine whether you are adequately prepared for this module try our Diagnostic Quiz.

If you have any doubt about the suitability of the module, please contact our Student Registration & Enquiry Service.

Register

Start End Fee
03 Oct 2015 Jun 2016 Not yet available

Registration opens on 12/03/15

This module is expected to start for the last time in October 2017.

Ways to pay for this module

Open University Student Budget Account

The Open University Student Budget Accounts Ltd (OUSBA) offers a convenient 'pay as you go' option to pay your OU fees, which is a secure, quick and easy way to pay. Please note that The Open University works exclusively with OUSBA and is not able to offer you credit facilities from any other provider. All credit is subject to status and proof that you can afford the repayments.

You pay the OU through OUSBA in one of the following ways:

  • Register now, pay later – OUSBA pays your module fee direct to the OU. You then repay OUSBA interest-free and in full just before your module starts. 0% APR representative. This option could give you the extra time you may need to secure the funding to repay OUSBA.
  • Pay by instalments – OUSBA calculates your annual fees and spreads them out over up to a year, enabling you to pay your fees monthly and walk away with a qualification without any further debt. APR 5.1% representative.

Read more about Open University Student Budget Accounts (OUSBA).  

Employer sponsorship

Studying with The Open University can boost your employability. OU qualifications are recognised and respected by employers for their excellence and the commitment they take to achieve one. They also value the skills that students learn and can apply in the workplace.

More than one in 10 OU students are sponsored by their employer, and over 30,000 employers have used the OU to develop staff so far. If the qualification you’ve chosen is geared towards your job or developing your career, you could approach your employer to see if they will sponsor you by paying some or all of the fees. 

  • Your employer just needs to complete a simple form to confirm how much they will be paying and we will invoice them.
  • You won’t need to get your employer to complete the form until after you’ve chosen your modules.  

Credit/debit card

You can pay part or all of your tuition fees upfront with a debit or credit card when you register for each module. 

We accept American Express, Maestro (UK only), Mastercard, Visa/Delta and Visa Electron. 

Gift vouchers

You can pay for part or all of your tuition fees with OU gift vouchers. Vouchers are currently available in the following denominations, £10, £20, £50 and £100. 

Mixed payments

We know that sometimes you may want to combine payment options. You may, for example wish to pay part of your tuition fee with a debit card and pay the remainder in instalments through an Open University Student Budget Accounts (OUSBA).

For more information about combining payment options, speak to an adviser or request a call back.


Note: Your permanent address/domicile will affect your fee status and therefore the fees you are charged and any financial support available to you. The fees and funding information provided here is based upon current details for  year 1 August 2014 to 31 July 2015.
This information was provided on 23/11/2014.

What's included

Module books, a CD-ROM, website, and online forums.

You will need

Calculator (basic mathematical functions would be useful).

You require access to the internet at least once a week during the module to download some essential module resources and to keep up to date with module news.

Computing requirements

You will need a computer with internet access to study this module. It includes online activities – you can access using a web browser – and some module software provided on disk.

  • If you have purchased a new desktop or laptop computer running Windows since 2008 you should have no problems completing the computer-based activities.
  • A netbook, tablet or other mobile device is not suitable for this module – check our Technical requirements section.
  • If you have an Apple Mac or Linux computer – please note that you can only use it for this module by running Windows on it using Boot Camp or a similar dual-boot system.

You can also visit the Technical requirements section for further computing information (including details of the support we provide).

If you have a disability

Some students may find using some of the study material challenging. Diagrams and data tables are used extensively in the module, both in text and on computer screens, and you will be asked to interpret graphs. If you have a visual impairment you may need assistance from a sighted helper for working with GenStat and looking at its graphical output.

You will need to spend considerable amounts of time using a personal computer. 

If you have particular study requirements please tell us as soon as possible, as some of our support services may take several weeks to arrange. Find out more about our services for disabled students.