Essentials of Modern Business Statistics with Microsoft® Excel®
eBook - PDF

Essentials of Modern Business Statistics with Microsoft® Excel®

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

Essentials of Modern Business Statistics with Microsoft® Excel®

About this book

Develop a strong conceptual understanding of statistics as ESSENTIALS OF MODERN BUSINESS STATISTICS WITH MICROSOFT® EXCEL®, 8E balances real-world applications with an integrated focus on the latest version of Microsoft® Excel®. This best-selling, essentials edition clearly develops each statistical technique in an application setting. You learn to master statistical methodology with an easy-to-follow presentation of a statistical procedure followed by a discussion of how to use Excel® 2019 to perform the procedure. Step-by-step instructions and screen captures ensure understanding. More than 140 new business examples, proven methods, and application exercises show how statistics provide insights into today's business decisions and problems. A unique problem-scenario approach and new case problems demonstrate how to apply statistical methods to practical business situations. MindTap digital resources provide tools to help you master Excel®, Excel® Online, and R as well as gain an understanding of business statistics.

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Yes, you can access Essentials of Modern Business Statistics with Microsoft® Excel® 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

Table of contents

  1. Cover
  2. Brief Contents
  3. Contents
  4. Preface
  5. About the Authors
  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: Tests of Goodness of Fit, Independence, and Multiple Proportions
  18. Chapter 13: Experimental Design and Analysis of Variance
  19. Chapter 14: Simple Linear Regression
  20. Chapter 15: Multiple Regression
  21. Appendixes
  22. Index