Statistics for Business and Economics / Edition 8

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Overview

Discover how you can use statistical results to solve contemporary business problems when you open the simply powerful approach in Anderson/Sweeney/Williams' STATISTICS FOR BUSINESS AND ECONOMICS, 11e. This trusted, market-leading text introduces sound statistical methodology within a strong applications setting. New cases and more than 350 real business examples and memorable exercises present the latest statistical data and business information. The book's comprehensive coverage gives you the flexibility to study the topics most important to you, including of the latest statistical and business software — MiniTab 15 and Excel 2007, as well as StatTools and other leading Excel 2007 statistical add-ins. With its proven problem-scenario approach and trusted accuracy, STATISTICS FOR BUSINESS AND ECONOMICS, 11e is the simply powerful solution for learning statistics today.

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Product Details

  • ISBN-13: 9780324066722
  • Publisher: Thomson South-Western
  • Publication date: 6/1/2001
  • Edition number: 8
  • Pages: 884

Meet the Author

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.
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Table of Contents


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. Inference About Means and Proportions with Two Populations.
11. Inferences About Population Variances.
12. Tests of Goodness of Fit and Independence.
13. Experimental Design and Analysis of Variance.
14. Simple Linear Regression.
15. Multiple Regression.
16. Regression Analysis: Model Building.
17. Index Numbers.
18. Time Series Analysis and Forecasting.
19. Nonparametric Methods.
20. Statistical Methods for Quality Control.
21. Decision Analysis.
22. Sample Survey (Online only).
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: Using Excel Functions.
Appendix F: Computing p-Values Using Minitab and Excel.
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