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Essentials of Business Statistics

by ; ;
Edition:
4th
ISBN13:

9780073401829

ISBN10:
007340182X
Format:
Hardcover
Pub. Date:
1/6/2011
Publisher(s):
McGraw-Hill/Irwin

Questions About This Book?

What version or edition is this?
This is the 4th edition with a publication date of 1/6/2011.
What is included with this book?
  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.
  • The Used copy of this book is not guaranteed to include any supplemental materials. Typically, only the book itself is included.
  • The eBook copy of this book is not guaranteed to include any supplemental materials. Typically only the book itself is included.

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Summary

The new edition of Essentials of Business Statistics delivers clear and understandable explanations of core business statistics concepts, making it ideal for a one-term course in business statistics. The author teamBowerman/O'Connell/Murphree/Orrisemphasize the importance of interpreting statistical results to make effective decisions to improve business processes. The text offers real applications of statistics that are relevant to today's business students which can be seen in the continuing case studies throughout the book. Continuing cases span throughout a chapter or even groups of chapters, easing students into new topic areas. A variety of examples and exercises, and a robust, technology-based ancillary package, including Connect, Minitab, and MegaStat for Excel, are designed to help students master this subject.

Table of Contents

1. An Introduction to Business Statistics

2. Descriptive Statistics: Tabular and Graphical Methods

3. Descriptive Statistics: Numerical Methods

4. Probability

5. Discrete Random Variables

6. Continuous Random Variables

7. Sampling and Sampling Distributions

8. Confidence Intervals

9. Hypothesis Testing

10. Statistical Inferences Based on Two Samples

11. Experimental Design and Analysis of Variance

12. Chi-Square Tests

13. Simple Linear Regression Analysis

14. Multiple Regression and Model Building

Appendix A: Statistical Tables

Answers to Most Odd-Numbered Exercises

References

Photo Credits

Index

On the Website:

15. Process Improvement Using Control Charts

Appendix B: Properties of the Mean and the Variance of a Random Variable and the Co-variance

Appendix C: Derivatives of the Mean and Variance of x(bar) and p(hat)

Appendix D: Confidence Intervals for Parameters of Finite Populations

Appendix E: Logistic Regression



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