Business Statistics for Contemporary Decision Making
eBook - PDF

Business Statistics for Contemporary Decision Making

  1. 848 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Business Statistics for Contemporary Decision Making

Book details
Table of contents
Citations

About This Book

Show students why business statistics is an increasingly important business skill through a student-friendly pedagogy. In this fourth Canadian edition of Business Statistics For Contemporary Decision Making authors Ken Black, Tiffany Bayley, and Ignacio Castillo uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make smart decisions in today's workplace.

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Yes, you can access Business Statistics for Contemporary Decision Making by Ken Black, Tiffany Bayley, Ignacio Castillo in PDF and/or ePUB format, as well as other popular books in Economics & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2023
ISBN
9781119983033
Edition
4
Topic
Economics
Subtopic
Statistics for Business & Economics
Index
Economics

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. About the Authors
  5. Preface
  6. Acknowledgments
  7. Brief Contents
  8. Contents
  9. Chapter 1: Introduction to Statistics and Business Analytics
  10. Chapter 2: Visualizing Data with Charts and Graphs
  11. Chapter 3: Descriptive Statistics
  12. Chapter 4: Probability
  13. Chapter 5: Discrete Distributions
  14. Chapter 6: Continuous Distributions
  15. Chapter 7: Sampling and Sampling Distributions
  16. Chapter 8: Statistical Inference: Estimation for Single Populations
  17. Chapter 9: Statistical Inference: Hypothesis Testing for Single Populations
  18. Chapter 10: Statistical Inferences About Two Populations
  19. Chapter 11: Analysis of Variance and Design of Experiments
  20. Chapter 12: Correlation and Simple Regression Analysis
  21. Chapter 13: Multiple Regression Analysis
  22. Chapter 14: Building Multiple Regression Models
  23. Chapter 15: Time-Series Forecasting and Index Numbers
  24. Chapter 16: Analysis of Categorical Data
  25. Chapter 17: Nonparametric Statistics
  26. Chapter 18: Statistical Quality Control
  27. Chapter 19: Decision Analysis
  28. Appendix A: Tables
  29. Appendix B: Making Inferences About Population Parameters: A Brief Summary
  30. Glossary
  31. Index
  32. EULA