Business Statistics in Practice

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  • Edition: 3rd
  • Format: Hardcover
  • Copyright: 2002-11-08
  • Publisher: McGraw-Hill/Irwin
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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 examples. These 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-based examples and exercises, unparalleled internet coverage, and a robust, technology-based ancillary package are designed to help students master their subject. Acknowledging the importance of spreadsheets and statistical softwawre 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. Icons in the text margins identify areas that are further explored and enhanced through the use of Visual Statistics.

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: Counting Rules

Appendix C: The Hypergeometric Distribution

Appendix D: Properties of the Mean and the Variance of a Random Variable, and the Covariance Between Two Random Variables

Appendix E: Derivations of the Mean and the Variance of the Sample Mean and of the Mean and the Variance of the Sample Proportion

Appendix F: Cluster Sampling and Ratios Estimation

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