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Statistics for Business and Economics (with CD-ROM) » (10th Edition)

Book cover image of Statistics for Business and Economics (with CD-ROM) by David R. Anderson

Authors: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams
ISBN-13: 9780324360684, ISBN-10: 0324360681
Format: Hardcover
Publisher: Cengage Learning
Date Published: January 2007
Edition: 10th Edition

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Author Biography: David R. Anderson

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.

Book Synopsis

Intended for undergraduates studying business administration or economics, this textbook serves as a conceptual introduction to the field of statistics. Topics include data, descriptive statistics, probability, sampling, interval estimation, hypothesis testing, variance, regression, forecasting, nonparametric methods, and decision analysis. The text emphasizes applications--especially applications of data analysis--and assumes mathematical knowledge only at the level of algebra. The authors teach at the University of Cincinnati and the Rochester Institute of Technology. Annotation ©2004 Book News, Inc., Portland, OR

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 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.

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