MM1F13-Business Statistics

Module Provider: International Business and Strategy
Number of credits: 20 [10 ECTS credits]
Level:4
Terms in which taught: Autumn / Spring term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Current from: 2018/9

Module Convenor: Prof James Walker

Email: j.t.walker@henley.ac.uk

Type of module:

Summary module description:
Business Statistics forms a 20 credit module of Part 1 of various degree programmes within the Henley Business School. It aims to provide students with a solid knowledge of business statistics and the ability to apply these skills to real problems. The module will raise awareness of how statistics can be applied to business and behavioural issues.

This module is delivered at University of Reading and University of Reading Malaysia.

Aims:


  • Provide solid knowledge of business statistics and the ability to apply these skills to real life problems. 

  • Raise awareness of how statistics can be applied to Business and Behavioural Issues



 


Assessable learning outcomes:

On completion of this module, the student should be able to:



• Analyse, interpret and extrapolate numeric data



• Apply this understanding to the process of recording, analysing, summarising and presenting statistical data



• Design and execute small scale research projects in the field of business



• Identify, formulate and solve business decision making and management problems using appropriate statistical models.


Additional outcomes:
Workshops and assignments are designed to encourage the development of oral communication, written presentation skills, and student effectiveness in group situations. Structured activities are designed to develop independent learning skills. IT skills are developed by the use of the Blackboard course management system.

Outline content:
Data collection, data sampling, data sources, presenting numerical information, summarising data, measures of central tendency, measures of dispersion, distributions, probability, regression analysis, time series analysis and forecasting, correlation, probability, probability distributions, estimation, and hypothesis testing.

Brief description of teaching and learning methods:
A combination of theory and practice will be used in lectures and practical workshops.

Contact hours:
  Autumn Spring Summer
Lectures 10 8
Tutorials 5 7
Guided independent study 72 98
       
Total hours by term 87.00 113.00
       
Total hours for module 200.00

Summative Assessment Methods:
Method Percentage
Written assignment including essay 50
Class test administered by School 50

Summative assessment- Examinations:

Summative assessment- Coursework and in-class tests:

Class Test - To be held during week 11 of Autumn Term



Written assignment - To be submitted by week 11 of Spring Term


Formative assessment methods:
Students will be assessed on the basis of their project; testing their ability to formulate, plan and evaluate business research topics, and to perform basic numeric operations, and consequently analyse and interpret data in quantitative models of business and management situations.

Penalties for late submission:
The Module Convener will apply the following penalties for work submitted late:

  • where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day[1] (or part thereof) following the deadline up to a total of five working days;
  • where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

  • The University policy statement on penalties for late submission can be found at: http://www.reading.ac.uk/web/FILES/qualitysupport/penaltiesforlatesubmission.pdf
    You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

    Assessment requirements for a pass:
    A minimum mark of 40%

    Reassessment arrangements:

    By component failed. Re-assessment for Part 1 modules takes place in August of the same year.


    Additional Costs (specified where applicable):

    Last updated: 20 April 2018

    THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.

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