Essentials of Statistics for Business & Economics
eBook - PDF

Essentials of Statistics for Business & Economics

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

Essentials of Statistics for Business & Economics

About this book

Discover how statistical information impacts decisions in today's business world as Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's leading ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 9E connects concepts in each chapter to real-world practice. This edition delivers sound statistical methodology, a proven problem-scenario approach and meaningful applications that reflect the latest developments in business and statistics today. More than 350 new and proven real business examples, a wealth of practical cases and meaningful hands-on exercises highlight statistics in action. You gain practice using leading professional statistical software with exercises and appendices that walk you through using JMP® Student Edition 14 and Excel® 2016. WebAssign's online course management systems is available separately to further strengthen this business statistics approach and helps you maximize your course success.

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Yes, you can access Essentials of Statistics for Business & Economics by David Anderson, Dennis Sweeney, Thomas Williams, Jeffrey Camm in PDF and/or ePUB format, as well as other popular books in Business & Business General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Cengage Learning EMEA
Year
2019
Print ISBN
9780357045435
eBook ISBN
9780357118191
Topic
Business
Subtopic
Business General
Index
Business

Table of contents

  1. Cover
  2. Brief Contents
  3. Contents
  4. About the Authors
  5. Preface
  6. Chapter 1: Data and Statistics
  7. Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
  8. Chapter 3: Descriptive Statistics: Numerical Measures
  9. Chapter 4: Introduction to Probability
  10. Chapter 5: Discrete Probability Distributions
  11. Chapter 6: Continuous Probability Distributions
  12. Chapter 7: Sampling and Sampling Distributions
  13. Chapter 8: Interval Estimation
  14. Chapter 9: Hypothesis Tests
  15. Chapter 10: Inference about Means and Proportions with Two Populations
  16. Chapter 11: Inferences about Population Variances
  17. Chapter 12: Comparing Multiple Proportions, Test of Independence and Goodness of Fit
  18. Chapter 13: Experimental Design and Analysis of Variance
  19. Chapter 14: Simple Linear Regression
  20. Chapter 15: Multiple Regression
  21. Appendix A - References and Bibliography
  22. Appendix B - Tables
  23. Appendix C - Summation Notation
  24. Appendix E - Microsoft Excel 2016 and Tools for Statistical Analysis
  25. Appendix F - Computing p-Values with JMP and Excel
  26. Index