Les Oakshott

Essential Quantitative Methods (eBook, ePUB)

For Business, Management and Finance

• Format: ePub

Produktbeschreibung

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.

Produktdetails

• Verlag: Bloomsbury UK
• Seitenzahl: 428
• Erscheinungstermin: 25. Januar 2020
• Englisch
• ISBN-13: 9781350305465
• Artikelnr.: 62710200

Autorenporträt

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

Inhaltsangabe

-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.