Essential Quantitative Methods
For Business, Management and Finance
Edition number: 6., überarb. Aufl., Revised
Publisher: Macmillan Education
Date of Publication: 1 January 2016
Number of Volumes: 1 pieces, Book
Normal price:
Publisher's listprice:
EUR 67.57
EUR 67.57
Your price:
25 094 (23 900 HUF + 5% VAT )
discount is: 10% (approx 2 788 HUF off)
The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
Click here to subscribe.
Click here to subscribe.
Availability:
Uncertain availability. Please turn to our customer service.
Can't you provide more accurate information?
Product details:
| ISBN13: | 9781137518552 |
| ISBN10: | 1137518553 |
| Binding: | Paperback |
| No. of pages: | 472 pages |
| Size: | 250x192x25 mm |
| Weight: | 916 g |
| Language: | English |
| Illustrations: | 236 SW-Abb. Illustrations, black & white |
| 0 |
Category:
Short description:
The new edition of this accessible textbook provides ideal introductory coverage of quantitative methods. It offers real world business examples and case studies to illustrate problem-solving in empirical situations. Student learning is comprehensively supported by extensive online resources.
The new edition of this accessible textbook provides ideal introductory coverage of quantitative methods. It offers real world business examples and case studies to illustrate problem-solving in empirical situations. Student learning is comprehensively supported by extensive online resources.
Long description:
This concise and accessible textbook covers all of the key quantitative methods needed to solve everyday business problems. 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 widely used by MBA students and postgraduates.
An ideal textbook for undergraduate students of business, management and finance, it is also widely used by MBA students and postgraduates.
Table of Contents:
PART I: MATHEMATICAL APPLICATIONS 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.
- 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.
