Statistics for Business and Economics, 11th Edition

Discover how the most trusted approach to statistics today is Simply Powerful with the latest market-leading text from respected authors Anderson/Sweeney/Williams. STATISTICS FOR BUSINESS AND ECONOMICS, 11e introduces sound statistical methodology within a strong applications setting. The authors clearly demonstrate how statistical results provide insights into business decisions and present solutions to contemporary business problems. New cases and more than 350 real business examples and memorable exercises, 150 of which are new in this edition, present the latest statistical data and business information. With this book’s comprehensive coverage and unwavering accuracy, you select the topics best for your course, including thorough coverage of the latest versions of MiniTab 15 and Excel 2007, along with StatTools and other leading Excel 2007 statistical add-ins within chapter appendices. Author-written support materials and CengageNOW online course management system provides time-saving, complete support to ensure student understanding. Choose Anderson/Sweeney/Williams’ STATISTICS FOR BUSINESS AND ECONOMICS, 11e for the Simply Powerful statistical solution you need for your course.

Table of Contents

Chapter 1 Data and Statistics
Chapter 2 Descriptive Statistics: Tabular and Graphical Presentations
Chapter 3 Descriptive Statistics: Numerical Measures
Chapter 4 Introduction to Probability
Chapter 5 Discrete Probability Distributions
Chapter 6 Continuous Probability Distributions
Chapter 7 Sampling and Sampling Distributions
Chapter 8 Interval Estimation
Chapter 9 Hypothesis Tests
Chapter 10 Inference About Means and Proportions with Two Populations
Chapter 11 Inferences About Population Variances
Chapter 12 Tests of Goodness of Fit and Independence
Chapter 13 Experimental Design and Analysis of Variance
Chapter 14 Simple Linear Regression
Chapter 15 Multiple Regression
Chapter 16 Regression Analysis: Model Building
Chapter 17 Index Numbers
Chapter 18 Time Series Analysis and Forecasting
Chapter 19 Nonparametric Methods
Chapter 20 Statistical Methods for Quality Control
Chapter 21 Decision Analysis
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