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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: 2019/0
Email: k.pavlisa@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 ºÚ¹Ï³ÔÁÏÍø and ºÚ¹Ï³ÔÁÏÍø Malaysia.
Aims:
- Provide solid knowledge of business statistics and the ability to apply these skills to real life problems.Ìý
- Raise awareness of how statistics can be applied to Business and Behavioural Issues
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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:
Ìý | Autumn | Spring | Summer |
Lectures | 10 | 4 | |
Tutorials | 4 | 12 | |
Guided independent study: | Ìý | Ìý | Ìý |
Ìý Ìý Completion of formative assessment tasks | 73 | 97 | |
Ìý | Ìý | Ìý | Ìý |
Total hours by term | 87 | 113 | 0 |
Ìý | Ìý | Ìý | Ìý |
Total hours for module | 200 |
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:
The University policy statement on penalties for late submission can be found at:
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):
Calculator : £15 (Casio FX-83GTPLUS or Casio FX-85GTPLUS)
Last updated: 29 August 2019
THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.