Quantitative Methods for Business and Management

Series
Financial Times
Author
Stuart Wall / Chris Mitchell / Claire Coday  
Publisher
Pearson
Cover
Softcover
Edition
1
Language
English
Total pages
384
Pub.-date
April 2014
ISBN13
9780273770558
ISBN
0273770551
Related Titles


Product detail

Product Price CHF Available  
9780273770558
Quantitative Methods for Business and Management
97.60 approx. 7-9 days

Description

This engaging introduction shows how quantitative techniques can be used to analyse the internal and external environments in which businesses and organisations operate, with a contemporary focus on business start-up, enterprise and entrepreneurial skills.

 

Each chapter:

 

  • Applies a range of quantitative techniques to business decisions at all stages of the product life cycle
  • Focuses upon a particular business sector or sectors, including IT, retail sales, financial services, tourism, biotechnology, pharmaceuticals, leisure, entertainment and other sectors of a modern economy
  • Explores numerous real world applications, providing many opportunities for student interaction with the topic

 

Quantitative Methods for Business and Management is perfect for any business and management undergraduate taking a first course in quantitative methods or its equivalent. It will also be ideal for those seeking to develop quantitative skills in a range of taught master’s degrees.

 

Table of Contents

  • Chapter 1 Collecting and presenting data
  • Chapter 2 Making sense of data: Central location and dispersion
  • Chapter 3 Financial decision making: Project appraisal
  • Chapter 4 Regression, correlation and time series
  • Chapter 5 Probability and probability distributions
  • Chapter 6 Sampling and tests of hypotheses
  • Chapter 7 Business modelling: Linear relationships
  • Chapter 8 Business modelling: Non-linear relationships
  • Chapter 9 Project management
  • Appendix 1 Review of basic mathematics
  • Appendix 2 Probabilities for the normal distribution
  • Appendix 3 Cumulative binomial probabilities
  • Appendix 4 Cumulative Poisson probabilities
  • Appendix 5 Student t critical values
  • Appendix 6 x2 critical values
  • Appendix 7 Table of random numbers
  • Index