Essential Quantitative Methods: For Business, Management and Finance
 
A termék adatai:

ISBN13:9781137518552
ISBN10:1137518553
Kötéstípus:Puhakötés
Terjedelem:472 oldal
Méret:250x192x25 mm
Súly:916 g
Nyelv:angol
Illusztrációk: 236 SW-Abb. Illustrations, black & white
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Témakör:

Essential Quantitative Methods

For Business, Management and Finance
 
Kiadás sorszáma: 6., überarb. Aufl., Revised
Kiadó: Macmillan Education
Megjelenés dátuma:
Kötetek száma: 1 pieces, Book
 
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Kiadói listaár:
EUR 67.57
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27 882 Ft (26 555 Ft + 5% áfa)
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Kedvezmény(ek): 10% (kb. 2 788 Ft)
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Rövid leírás:

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.

Hosszú leírás:
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.
Tartalomjegyzék:
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.