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Analysing data

This module explores the fundamental statistical techniques and ideas used for analysing and interpreting data, covering models for data, estimation, confidence intervals, hypothesis testing and regression. The emphasis is on the practical side, although some of the underlying theory is also included. The statistical software package Minitab is supplied with the module and use of a computer is essential: you’ll receive detailed guidance for all the computer activities. This module is ideal if you would like to develop the skills to make sense of data. It also provides the necessary foundations required for studying further modules in statistics.

Modules count towards OU qualifications

OU qualifications are modular in structure; the credits from this undergraduate 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
M248
Credits

Credits

  • Credits measure the student workload required for the successful completion of a module or qualification.
  • One credit represents about 10 hours of study over the duration of the course.
  • You are awarded credits after you have successfully completed a module.
  • For example, if you study a 60-credit module and successfully pass it, you will be awarded 60 credits.
30
Study level
2
Study method
Distance Learning
Module cost
See Module registration
Entry requirements
See Am I ready?

Student Reviews

This was a fairly dry course, but more than possible to study alongside other modules, and score well in. The...
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This course is a very good course which provides detailed knowledge about data and probability. As I am in full...
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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 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).

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 us 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.

You can choose whether to submit your tutor-marked assignments (TMAs) on paper or online through the eTMA system. You may want to use the eTMA system for some of your assignments but submit on paper for others. This is entirely your choice.

Although your scores on the TMAs will not contribute directly to your final grade, you will need to complete most of them. However, the total workload for all TMAs is less than four standard TMAs. You will be given more information when you begin the module.

Future availability

Analysing data starts once a year in October. This page describes the module that will start in October 2018. We expect it to start for the last time in October 2026.

Regulations

As a student of The Open University, you should be aware of the content of the academic regulations which are available on our Essential Documents website.

    Course work includes:

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

    Course satisfaction survey

    See the satisfaction survey results for this course.


    Entry requirements

    You need no pre-requisites to study this modulehowever you do need to be confident with mathematical notation and carrying out algebraic manipulation.

    We also advise you are familiar with mathematical functions, including the logarithmic and the exponential functions. You’ll also use differentiation and integration; Analysing data will include some revision covering the specific techniques used.

    Check you’re ready to study Analysing data with our self-assessed quiz.

    Talk to an advisor if you’re still not sure if you’re ready.

    Preparatory work

    Essential mathematics 1 (MST124) is the ideal preparation for studying Analysing data.

    Register

    Start End England fee Register
    06 Oct 2018 Jun 2019 £1464.00

    Registration closes 13/09/18 (places subject to availability)

    Register
    This module is expected to start for the last time in October 2026.

    Additional Costs

    Study costs

    There may be extra costs on top of the tuition fee, such as a laptop, travel to tutorials, set books and internet access.

    If you're on a low income you might be eligible for help with some of these costs after your module has started.

    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 monthly fee and number of instalments based on the cost of the module you are studying. APR 5.1% representative.

    Joint loan applications

    If you feel you would be unable to obtain an OUSBA loan on your own due to credit history or affordability issues, OUSBA offers the option to apply for a joint loan application with a third party. For example, your husband, wife, partner, parent, sibling or friend. In such cases, OUSBA will be required to carry out additional affordability checks separately and/or collectively for both joint applicants who will be jointly and severally liable for loan repayments.

    As additional affordability checks are required when processing joint loan applications, unfortunately, an instant decision cannot be given. On average the processing time for a joint loan application is five working days from receipt of the required documentation.

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

    Employer sponsorship

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

    More than one in ten OU students are sponsored by their employer, and over 30,000 employers have used the OU to develop staff so far. If the module 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 module.  

    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. 

    Mixed payments

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

    For more information about combining payment options, speak to an adviser.


    Please 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 valid for modules starting before 31 July 2019. Fees normally increase annually in line with inflation and the University's strategic approach to fees. 

    This information was provided on 21/06/2018.

    What's included

    Module books and website, including access to the module computer software applications.

    You will need

    A scientific calculator, but not one that is designed or adapted to offer any of the following facilities: Algebraic manipulation, differentiation or integration, language translation or can communicate with other devices or the internet. It also cannot have retrievable information stored in it such as databanks, dictionaries, mathematical formulae or text.

    A desktop or laptop computer with Widows 7 or higher. Please note that an Apple Mac is not a suitable device for this module, as the software provided will not run properly on it.

    Computing requirements

    A computing device with a browser and broadband internet access is required for this module.  Any modern browser will be suitable for most computer activities. Functionality may be limited on mobile devices.

    Any additional software will be provided, or is generally freely available. However, some activities may have more specific requirements. For this reason, you will need to be able to install and run additional software on a desktop or laptop computer with Windows 7 or higher.

    The screen of the device must have a resolution of at least 1024 pixels horizontally and 768 pixels vertically.

    To participate in our online-discussion area you will need both a microphone and speakers/headphones. 

    Our Skills for OU study website has further information including computing skills for study, computer security, acquiring a computer and Microsoft software offers for students. 

    If you have a disability

    The OU strives to make all aspects of study accessible to everyone and this Accessibility Statement outlines what studying M248 involves. You should use this information to inform your study preparations and any discussions with us about how we can meet your needs.

    To find out more about what kind of support and adjustments might be available, contact us or visit our Overcoming barriers to study if you have a disability or health condition website.