Essential Quantitative Methods: For Business, Management and Finance
This well-loved textbook covers all of the key quantitative methods needed to solve everyday business problems. Presented in a highly accessible and concise manner, Les Oakshott's clear and friendly writing style guides students from basic statistics through to advanced topics, such as hypothesis testing and time series, as well as operational research techniques such as linear programming and inventory management. Step-by-step instructions and accompanying activities will help students to practice and gain confidence in carrying out techniques. The book's coverage is fully grounded within the real world of business. Real-life case studies open every chapter and numerous examples throughout demonstrate why quantitative techniques are needed for a business to be successful.

An ideal textbook for undergraduate students of business, management and finance, it is also suitable for MBA students and postgraduates.

Accompanying online resources for this title can be found at bloomsburyonlineresources.com/essential-quantitative-methods-7e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

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Essential Quantitative Methods: For Business, Management and Finance
This well-loved textbook covers all of the key quantitative methods needed to solve everyday business problems. Presented in a highly accessible and concise manner, Les Oakshott's clear and friendly writing style guides students from basic statistics through to advanced topics, such as hypothesis testing and time series, as well as operational research techniques such as linear programming and inventory management. Step-by-step instructions and accompanying activities will help students to practice and gain confidence in carrying out techniques. The book's coverage is fully grounded within the real world of business. Real-life case studies open every chapter and numerous examples throughout demonstrate why quantitative techniques are needed for a business to be successful.

An ideal textbook for undergraduate students of business, management and finance, it is also suitable for MBA students and postgraduates.

Accompanying online resources for this title can be found at bloomsburyonlineresources.com/essential-quantitative-methods-7e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

80.95 In Stock
Essential Quantitative Methods: For Business, Management and Finance

Essential Quantitative Methods: For Business, Management and Finance

by Les Oakshott
Essential Quantitative Methods: For Business, Management and Finance

Essential Quantitative Methods: For Business, Management and Finance

by Les Oakshott

Paperback(7th ed. 2020)

$80.95 
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Overview

This well-loved textbook covers all of the key quantitative methods needed to solve everyday business problems. Presented in a highly accessible and concise manner, Les Oakshott's clear and friendly writing style guides students from basic statistics through to advanced topics, such as hypothesis testing and time series, as well as operational research techniques such as linear programming and inventory management. Step-by-step instructions and accompanying activities will help students to practice and gain confidence in carrying out techniques. The book's coverage is fully grounded within the real world of business. Real-life case studies open every chapter and numerous examples throughout demonstrate why quantitative techniques are needed for a business to be successful.

An ideal textbook for undergraduate students of business, management and finance, it is also suitable for MBA students and postgraduates.

Accompanying online resources for this title can be found at bloomsburyonlineresources.com/essential-quantitative-methods-7e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.


Product Details

ISBN-13: 9781352005691
Publisher: Bloomsbury Academic
Publication date: 01/31/2020
Edition description: 7th ed. 2020
Pages: 428
Product dimensions: 8.95(w) x 10.25(h) x 1.10(d)

About the Author

Les Oakshott is a former Associate Fellow of Warwick Business School, UK.

Table of Contents

-PART I: MATHEMATICAL APPLICATIONS
1. Revision Mathematics
2. Keeping up with Change: Index Numbers
PART II: COLLECTING AND INTERPRETING DATA.
3. Collecting Data: Surveys and Samples.
4. Finding Patterns in Data: Charts and Tables
5. Making Sense of Data: Averages and Measures of Spread
PART III: PROBABILITY& STATISTICS.
6. Taking a Chance: Probability
7. The Shape of Data: Probability Distributions
8. Interpreting with Confidence: Analysis of Sample Data
9. Checking Ideas: Testing a Hypothesis.
10. Cause and Effect: Correlation and Regression
PART IV: DECISION MAKING TECHNIQUES
11. How to make Good Decisions
12. Choosing wisely: Investment Appraisal
13. Forecasting: Time Series Analysis
14. Making the Most of Things: Linear Programming
15. Planning Large Projects: Network Analysis
16. Managing stock levels: Materials management and inventory control

What People are Saying About This

From the Publisher

An excellent introduction to quantitative methods, written in an accessible and comprehensive way to support students' fast and efficient learning ... an absolute essential. – Ioannis Kyriakou, Cass Business School, City University of London, UK

With plenty of applications to real-life business and reflections on methodology, as well as vivid illustrations, this is an excellent introductory textbook to inspire and motivate students. – Mofei Jia, Xi'an Jiaotong-Liverpool University, China.

A compact yet thorough introduction to the quantitative methods relevant to different areas of business ... Completely up to date, the book reflects the latest trends, issues and practices. – Sascha Mölls, University of Marburg, Germany

Provides a no-nonsense way of learning the quantitative techniques necessary for both students and practitioners ... an invaluable resource – Simeon Coleman, Loughborough University, UK

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