20 credits at level HE4
The aim of this module is to introduce learners to the use of data analysis, statistics and information technology. It will develop in learners an understanding of how application of data analysis can inform the problem solving process and provide an understanding of the fundamental concepts involved in the processing of data. Students will demonstrate an ability to interpret and communicate the results of data analysis, whilst also developing learning to learn skills in the area of numeracy and the use of information communications technology (ICT).
Introduction to statistics and data analysis. Conversion of raw data.
Compilation and presentation of data: population and samples, methods of collection, sampling methods. Tables, graphs and diagrams.
Grouped frequency distributions: histograms, frequency polygons.
Averages: mean, median, mode, range, inter-quartile range, dispersion, mean deviation, standard deviation.
Identification of data trends, significant patterns and their implications.
Evaluation and analysis skills, including justification of methods and conclusions from results. Problem solving techniques and recommendations.
Presentation skills and presenting data.
Formal teaching and learning sessions will be used to present learners with new material, followed by exercises and workshops to enable learners to solve problems relating to material introduced. Tutorial sessions will also be available. Learners are expected to prepare for each session by undertaking directed reading on each topic. Learners will be encouraged to identify personal development needs in the area of numeracy and ICT through self-evaluation, self study and application to the workplace.
The module is assessed through one work-based assignment and one in-class timed assignment. The first assessment requires learners to identify a relevant business problem to be solved by statistical analysis with emphasis on a management perspective.
For the second assessment, learners will undertake a timed, in-class assignment to demonstrate knowledge of numerical operations, identification of data trends and findings, relevant to a/the particular module subject/s.
Lectures/seminars 10x3 = 30
Background reading and personal study = 150
Total = 200 hours
when you have successfully completed this module you will:
to demonstrate that you have achieved the learning outcome you will:
|1.||Demonstrate a basic knowledge of data analysis and presentation.||
• Identify and collate data relevant to a specific business activity.
• Apply various data analysis techniques to a specific business activity.
• Interpret the results of data analysis techniques.
|2.||Analyse numerical data to extract relevant information.||• Consider output, interpret data and report on findings.|
|3.||Apply basic statistical functions and quantitative methods of data collection and manipulation.||• Undertake numerical analysis.|
|4.||Demonstrate the use of numeracy and ICT (e.g. word processing & spreadsheets)||• Use a word processor and spreadsheet to present data.|
|5.||Demonstrate basic statistical analysis skills in the evaluation of data.||
• Identify data patterns and trends, drawing relevant conclusions.
• Solve a specific business problem and make justified recommendations.
|6.||Select appropriate methods to present statistical information||
•Use ICT to present statistical data in different formats.
•Justify the methods used.
Your achievement of the learning outcomes for this module will be tested as follows:
|Description||Work-based assignment on a business problem to be solved by statistical analysis from a management perspective.||In-class assessment on data analysis and interpretation to assist in the solution of a business problem.|
There are no prerequisites for this module.
No restrictions apply.
Curnock, A. (1996) Quantitative Methods in Business, Cheltenham: Stanley Thomas ( please note textbook currently under revision)
Francis, A. (2004) Business Mathematics and Statistics, London: Letts Educational
Harper, W. M. (1991) Statistics (6th ed) London: Pitman Publishing
Lucey, T. (2002) Quantitative Techniques, London: Continuum
Taylor, S. (2007) Business Statistics, Palgrave
Bized (n.d.) ‘Data’ A Web site for students and educators in business studies, economics, accounting, leisure, sport & recreation and travel & tourism: Accounting. [Online]. Available from
360 - Ashridge Journal: available at www.ashridge.org.uk Harvard Business Review: available at hbr.harvardbusines.org
Newspapers (current change issues)
|Host Subject Group:||Business|
|User Name||Date Accessed||Action|