Stats Means Business
eBook - ePub

Stats Means Business

Statistics and Business Analytics for Business, Hospitality and Tourism

  1. 448 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Stats Means Business

Statistics and Business Analytics for Business, Hospitality and Tourism

About this book

Stats Means Business is an introductory and comprehensive textbook written especially for hospitality, business and tourism students who take statistics or quantitative methods modules. By minimising technical language, providing clear definitions of key terms and giving emphasis to interpretation rather than technique, this book caters to beginners in the subject.

This book enables readers to appreciate the importance of statistical analysis in hospitality, tourism and other fields of business, understand statistical techniques, develop judgement in the selection of appropriate statistical techniques and interpret the results of statistical analysis.

This new edition has been fully revised and updated to include:

  • New content on business analytics
  • Case studies demonstrating practical applications
  • An extensive selection of new self-test questions
  • Updated online teaching and learning resources

Stats Means Business is an ideal, accessible and practical introduction to statistics and quantitative research methods for hospitality, business and tourism students.

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Yes, you can access Stats Means Business by John Buglear,Elaine Chen in PDF and/or ePUB format, as well as other popular books in Business & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Endorsements
  4. Title
  5. Copyright
  6. Contents
  7. List of figures
  8. List of tables
  9. Welcome!
  10. Acknowledgements
  11. 1 Numbers in business: the basics
  12. 2 Presenting data
  13. 3 Summarising values of a single variable
  14. 4 Summarising bivariate data
  15. 5 Assessing risk
  16. 6 Putting probability to work
  17. 7 Modelling populations
  18. 8 Statistical decision-making
  19. 9 Statistical decision-making with bivariate data
  20. 10 The role of data in business analytics
  21. 11 Descriptive analytics
  22. 12 Predictive analytics
  23. 13 Prescriptive analytics
  24. 14 Managing statistical research
  25. Appendix 1 Statistical tables
  26. Appendix 2 Answers to test yourself questions
  27. References
  28. Index