Business Statistics in Practice available in Paperback
- Pub. Date:
- McGraw-Hill Higher Education
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.
|Publisher:||McGraw-Hill Higher Education|
|Product dimensions:||6.00(w) x 1.25(h) x 9.00(d)|
About the Author
Richard T. O'Connell is an associate professor of decision sciences at Miami University in Oxford, Ohio. He has more than 32 years of experience teaching basic statistics, statistical quality control and process improvement, regression analysis, time series forecasting, and design of experiments to both undergraduate and graduate business students. In 2000 Professor O’Connell received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Bruce L. Bowerman, he has written seven textbooks. These include Forecasting and Time Series: An Applied Approach and Linear Statistical Models: An Applied Approach. He is one of the first college instructors in the United States to integrate statistical process control and process improvement methodology into his basic business statistics course. He (with Professor Bowerman) has written several articles advocating this approach.
Table of Contents
1. An Introduction to Business Statistics2. 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 SamplingAnswers to Most Odd-Numbered ExercisesReferencesIndexAppendix E: (Part 2) Derivations of the Mean and Variance of x and p On CD-ROMAppendix F: (Part 2) Cluster Sampling and Ratio Estimation On CD-ROMAppendix G: Using Matrix Algebra to Perform Regression Calculations On CD-ROM
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