Essentials Of Contemporary Business Statistics

1. Data and Statistics.2. Descriptive Statistics: Tabular and Graphical Presentations.3. Descriptive Statistics: Numerical Measures.4. Introduction to Probability.5. Discrete Probability Distribution.6. Continuous Probability Distributions.7. Sampling and Sampling Distributions.8. Interval Estimation.9. Hypothesis Testing.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. Statistical Methods for Quality Control.15. Time Series Analysis and Forecasting (On Website).Appendix A: References and Bibliography.Appendix B: Tables.Appendix C: Summation Notation.Appendix D: Self-Test Solutions and Answers to Select Exercises.Appendix E: Microsoft Excel 2010 and Tools for Statistical Analysis.

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.