Quantitative Methods
1st Edition
Published on 24. June 2014
252 pages
978-1-350-30544-1 (ISBN)
Description
Offering a student-friendly introduction to quantitative methods, this text covers all of the need to know basics in a clear and engaging manner. Quantitative Methods is an ideal text for students of all levels coming to the subject for first time.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Bloomsbury Publishing PLC
Target group
Adult education
ISBN-13
978-1-350-30544-1 (9781350305441)
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
Additional editions
Person
Les Oakshott is Associate Fellow of Warwick Business School, UK. He has worked in industry and education and has wide experience of applying teaching quantitative methods in a business context. He is also the author of Essential Quantitative Methods for Business, Management and Finance (5th edition published by Palgrave Macmillan in 2012).
Content
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 AND 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. Choosing Wisely: Investment Appraisal
12. Forecasting: Time Series Analysis
13. Making the Most of Things: Linear Programming
14. Planning Large Projects: Critical Path Analysis
Appendices
Index.
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 AND 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. Choosing Wisely: Investment Appraisal
12. Forecasting: Time Series Analysis
13. Making the Most of Things: Linear Programming
14. Planning Large Projects: Critical Path Analysis
Appendices
Index.
