E-Book, Englisch, 672 Seiten
Waller Statistics for Business
2. Auflage 2016
ISBN: 978-1-134-50500-5
Verlag: CRC Press
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 672 Seiten
ISBN: 978-1-134-50500-5
Verlag: CRC Press
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Statistics for Business explains the fundamentals of statistical analysis in a lucid, pragmatic way. A thorough knowledge of statistics is essential for decision making in all corners of business and management. By collecting, organising and analysing statistical data you can express what you know, benchmark your current situation and estimate future outcomes.
This book is packed with features to aid understanding and help ensure that every aspect of your knowledge of statistics is applicable to practice. The contents are entirely based on MS Excel, with all the statistical functions to use clearly referenced. Case study exercises accompany every chapter to help you test your understanding and it also includes a detailed glossary as well as a review section of mathematical terms.
New to this edition:
- Over 200 new, worked examples, supported by an online database
- A brand new companion website including PowerPoint slides for each chapter, an instructor’s manual of case exercises and a test bank.
- New chapters on decision making and risk, six-sigma and statistical process control.
With a clear and accessible style this book makes statistics easier to understand and as a formula-driven, applied textbook it is ideal for business and management students that need to learn how to apply statistics to the real world.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Characterizing and Defining Data 2. Presenting and Organizing Data 3. Essentials of Probability and Counting Rules 4. Discrete Data and Probability 5. Continuous Distributions and Probability 6. Methods and Theory of Statistical Sampling 7. Estimating Population Characteristics 8. Hypothesis Testing From a Single Population 9. Hypothesis Testing From Different Populations 10. Forecasting From Correlated Data 11. Business Decisions and Risk 12. Statistical Process Control, SPC 13. Six-Sigma Management