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With Anderson/Sweeney/Williams' market-leading STATISTICS FOR BUSINESS AND ECONOMICS, 10e, you'll learn much more than simply how to solve statistical equations. You'll discover how statistical results provide insights into business decisions and present solutions to business problems. Numerous actual examples, proven methods, and application exercises provide practical clarity to even complex concepts, while self-testing exercises allow you to assess your personal understanding. Maximize your study time and efficiently complete homework with this edition's innovative CengageNOW online learning system that creates a personalized study plan focusing on the statistical concepts you still need to master. A useful CD-ROM, available at no extra cost with each new text, provides data files to help you master key statistical software for success in today's classroom and tomorrow's business world.
"The textbook is very user-friendly (easy to read). The text has very good and useful real world problems. The computer applications using Microsoft Excel are a must for any business statistics course."
"Engaging examples and the relevant questions at the end of chapters. Clear and understandable. Intiutive explanations."
David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. Born in Grand Forks, North Dakota, he earned his B.S., M.S., and Ph.D. degrees from Purdue University. Professor Anderson has served as Head of the Department of Quantitative Analysis and Operations Management and as the Associate Dean of the College of Business Administration. In addition, he was the coordinator of the College's first Executive Program.
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 Testing. 10. Statistical Inference about Means and Proportions with Two Populations. 11. Inferences About Population Variances. 12. Test of Goodness of Fit and Independence. 13. Experimental Design and Analysis of Variance. 14. Simple Regression. 15. Multiple Regression. 16. Regression Analysis: Model Building. 17. Index Numbers. 18. Forecasting. 19. Nonparametric Methods. 20. Statistical Methods for Quality Control. 21. Decision Analysis. 22. Sample Survey (on CD). Appendices. A: References and Bibliography. B: Tables. C: Summation Notation. D: Self-Test Solutions and Answers to Even-Numbered Exercises. E: Using Excel Functions. F: Computing p-values.