Essential Quantitative Methods: for Business, Management and Finance
Autor Les Oakshott, Professor Kathy Kotiadisen Limba Engleză Hardback – 10 ian 2026
Grounded in the everyday realities of business, this textbook introduces each chapter with an engaging case study to highlight how organisations operationalise these techniques, ranging from the growth of China's economy and a Covid-19 infection survey to goal scoring at Euro 2024 and the effect of global warming on the occurrence of salmonella in Singapore.
New to this edition:
-Links the UN Sustainable Development Goals to quantitative techniques
-Greater emphasis on Excel to enable seamless transition to blended learning approaches
-Walk-through videos of key processes hosted on the companion website
This is the essential textbook for delivering quantitative methods and business statistics modules to students of mixed maths abilities across undergraduate and postgraduate levels.
Accompanying online resources for this title can be found at bloomsburypub/essential-quantitative-methods-8e. These resources are designed to support teaching and learning at no extra cost.
Preț: 1112.68 lei
Preț vechi: 1595.85 lei
-30% Nou
Puncte Express: 1669
Preț estimativ în valută:
196.95€ • 229.61$ • 170.62£
196.95€ • 229.61$ • 170.62£
Carte disponibilă
Livrare economică 06-20 februarie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781350426429
ISBN-10: 1350426423
Pagini: 432
Ilustrații: 370 colour illus
Dimensiuni: 216 x 276 mm
Ediția:8
Editura: Bloomsbury Publishing
Colecția Bloomsbury Academic
Locul publicării:London, United Kingdom
ISBN-10: 1350426423
Pagini: 432
Ilustrații: 370 colour illus
Dimensiuni: 216 x 276 mm
Ediția:8
Editura: Bloomsbury Publishing
Colecția Bloomsbury Academic
Locul publicării:London, United Kingdom
Cuprins
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 Speed
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. 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
Bibliography
Appendix: Statistical Tables
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 Speed
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. 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
Bibliography
Appendix: Statistical Tables
Index