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Business Statistics in Practice with Student CD,9780073252919
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Business Statistics in Practice with Student CD



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The new edition of Business Statistics in Practice delivers clear and understandable explanations of business statistics concepts through the use of continuing case studies and an emphasis on business improvement. The cases and examples show real applications of statistics relevant to today's business students. The authors motivate students by showing persuasively how the use of statistical techniques in support of business decision-making helps to improve business processes. A variety of computer centered examples and exercises, and a robust, technology-based ancillary package are designed to help students master this subject. Acknowledging the importance of spreadsheets and statistical software in their statistical instruction, the authors continue to integrate Excel and Minitab output throughout the text. In addition, a new enhanced version of MegaStat, an Excel add-in program designed to optimize Excel for statistical application, is available free on the Student CD. For students and instructors who want to explore statistical concepts from a graphical perspective, Visual Statistics is again available on the Student CD. New Business Improvement icons are integrated throughout the text to illustrate the 'BI' theme.

Table of Contents

1. An Introduction to Business Statistics

2. Descriptive Statistics

3. Probability

4. Discrete Random Variables

5. Continuous Random Variables

6. Sampling Distributions

7. Confidence Intervals

8. Hypothesis Testing

9. Statistical Inferences Based on Two Samples

10. Experimental Design and Analysis of Variance

11. Simple Linear Regression Analysis

12. Multiple Regression and Model Building

13. Time Series Forecasting

14. Process Improvement Using Control Charts

15. Nonparametric Methods

16. Chi-Square Tests

17. Decision Theory

Appendix A: Statistical Tables

Appendix B: Covariance and Correlation

Appendix C:

Part I: Counting Rules

Part II The Hypergeometric Distribution

Appendix D: The Normal Probability Plot

Appendix E:

Part I: Properties of the Mean and the Variance of a Random Variable, and Covariance

Appendix F:

Part I: Stratified Random Sampling

Answers to Most Odd-Numbered Exercises



Appendix E: (Part 2) Derivations of the Mean and Variance of x and p On CD-ROM

Appendix F: (Part 2) Cluster Sampling and Ratio Estimation On CD-ROM

Appendix G: Using Matrix Algebra to Perform Regression Calculations On CD-ROM

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