Essential Quantitative Methods for Business, Management and Finance
2nd Edition
Published on 30. October 2001
Book
Hardback
432 pages
978-0-333-98576-2 (ISBN)
Description
Designed to provide the essential elements of an introductory quantitative methods module, this text has proved a popular choice with students. Written in a concise and student friendly style, it contains frequent activities and questions for students to practise the techniques taught. New to the second edition of this text is the extensive use of Excel, and a companion website.
More details
Edition
2nd Revised edition
Language
English
Place of publication
Basingstoke
United Kingdom
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Illustrations
tables, index
Dimensions
Height: 246 mm
Width: 189 mm
Weight
978 gr
ISBN-13
978-0-333-98576-2 (9780333985762)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Book
10/2001
2nd Edition
Palgrave Macmillan
€32.18
Article exhausted; check for reprint
Previous edition
Book
04/1998
Palgrave Macmillan
€24.75
Article exhausted; check for reprint
Person
LES OAKSHOTT is Senior Lecturer at Bristol Business School, University of the West of England. He has worked in both industry and education and has wide experience in both applying and teaching quantitative methods in a business context.
Content
Revision Mathematics - Sampling Methods - Presentation of Data - Summarising Data - Index Numbers - Investment Appraisal - Introduction to Probability - Probability Distributions - Decision-making under Conditions of Uncertainty - Analysis and Interpretation of Sample Data - Testing a Hypothesis - Correlation and Regression - Time Series Analysis - Linear Programming - Critical Path Analysis - Inventory Control - Simulation - Appendix 1 Answers to Exercises in the text - Appendix 2 Statistical Tables - Appendix 3 Mathematical and Statistical Formulae - Index