9780077480783

Looseleaf Version Essentials of Business Statistics 4e

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  • ISBN13:

    9780077480783

  • ISBN10:

    0077480783

  • Edition: 4th
  • Format: Loose-leaf
  • Copyright: 1/5/2011
  • Publisher: McGraw-Hill/Irwin
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List Price: $176.18

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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