- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
Use CONTEMPORARY BUSINESS STATISTICS, 4e, International Edition to gain a strong conceptual understanding of statistics with a balance of real-world applications and focus on the integrated strengths of Microsoft (R) Excel (R) 2010. To ensure your understanding, this best-selling, comprehensive text carefully discusses and clearly develops each statistical technique in a solid application setting.Immediately after each easy-to-follow presentation of a statistical procedure, a subsection discusses how to use Excel (R) to perform the procedure. This integrated approach emphasizes the applications of Excel (R) while maintaining a focus on the statistical methodology. Step-by-step instructions and screen captures further clarify the presentation to ensure your understanding.A wealth of timely business examples, proven methods, and application exercises clearly demonstrate how statistical results provide insights into business decisions and present solutions to contemporary business problems. The book's class-tested problem-scenario approach emphasizes how you can apply statistical methods to today's practical business situations. New case problems and self-tests throughout this edition allow you to check your personal understanding. Additional learning resources, including CengageNOW for online homework assistance and a complete support Website, provide everything you need for the Excel (R) 2010 skills and understanding of business statistics that is SIMPLY EXCELLENT!
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. Statistical Inferences 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. Time Series Analysis and Forecasting.18. Nonparametric Methods.19. Statistical Methods for Quality Control.20. Decision Analysis.21. Sample Survey On Website.
