Essentials of Modern Business Statistics with Microsoft Excel

6. Auflage 2016
ISBN: 978-1-285-86704-5
Verlag: Cengage Learning, Inc

Buch, Englisch, 784 Seiten, Format (B × H): 210 mm x 261 mm, Gewicht: 1477 g

From the renowned author team that has been writing market-leading business statistics textbooks for more than 20 years, ESSENTIALS OF MODERN BUSINESS STATISTICS, 6TH EDITION provides a brief introduction to business statistics. The text balances a conceptual understanding of statistics with the real-world application of statistical methodology using problem-scenarios and real-life examples. Microsoft Excel® 2013 is integrated throughout the text. Step-by-step instructions and screen captures demonstrate how to most effectively use the latest version of Excel in statistical procedures, while numerous exercises give readers hands-on experience putting what they learn into practice. The Sixth Edition is packed with all-new Case Problems, Statistics in Practice applications, and real data examples and exercises.

Autoren/Hrsg.

Anderson, David (University of Cincinnati)

Anderson, David

Sweeney, Dennis (University of Cincinnati)

Sweeney, Dennis

Williams, Thomas (Rochester Institute of Technology)

Williams, Thomas

Inhaltsverzeichnis

1. Data and Statistics.2. Descriptive Statistics: Tabular and Graphical Presentations.3. Descriptive Statistics: Numerical Measures.4. Introduction to Probability.5. Discrete Probability Distributions.6. Continuous Probability Distributions.7. Sampling and Sampling Distributions.8. Interval Estimation.9. Hypothesis Tests.10. Comparisons Involving Means, Experimental Design, and Analysis of Variance.11. Comparisons Involving Proportions and a Test of Independence.12. Simple Linear Regression.13. Multiple Regression.14. Timer Series Analysis and Forecasting (on Website).15. Statistical Methods for Quality Control (on Website).Appendix A: References and Bibliography.Appendix B: Tables.Appendix C: Summation Notation.Appendix D: Self-Test Solutions and Answers to Even-Numbered Exercises.Appendix E: Microsoft Excel 2013 and Tools for Statistical Analysis.

Über Autor(innen)

Sweeney, Dennis
Dennis J. Sweeney is Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. Born in Des Moines, Iowa, he earned a BSBA degree from Drake University and his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow. Professor Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney served as Head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration at the University of Cincinnati. Professor Sweeney has published more than 30 articles and monographs in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger and Cincinnati Gas & Electric have funded his research, which has been published in Management Science, Operations Research, Mathematical Programming, Decision Sciences and other journals. Professor Sweeney has co-authored ten textbooks in the areas of statistics, management science, linear programming and production and operations management.