Statistics for Business and Economics Annotated Edition (IE-Paperback)

David R. Anderson , Dennis J. Sweeney , Thomas A. Williams , Jeffrey D. Camm , James J. Cochran




New to this edition
•Descriptive Statistics--Chapters 2 and 3. We have significantly revised these chapters to incorporate new material on data visualization, best practices, and much more. Chapter 2 has been reorganized to include new material on side-by-side and stacked bar charts, and a new section has been added on data visualization and best practices I creating effective displays. Chapter 3 now includes coverage of the geometric mean in the section on measures of location. The geometric mean has many applications in the computation of growth rates for financial assets, annual percentage rates, and so on. Chapter 3 also includes a new section on data dashboards and how summary statistics can be incorporated to enhance their effectiveness. 
•Discrete Probability Distributions--Chapter 5. The introductory material in this chapter has been revised to better explain the role of probability distributions and to show how the material on assigning probabilities in Chapter 4 can be used to develop discrete probability distributions. We point out that the empirical discrete probability distribution is developed by using the relative frequency method to assign probabilities. At the request of many users, we have added a new Section 5.4 that covers bivariate discrete distributions and financial applications. We show how financial portfolios can be constructed and analyzed using these distributions. 
•Chapter 12--Comparing Multiple Proportions, Tests of Independence, and Goodness of Fit. This chapter has undergone a major revision. We have added a new section on testing the equality of three or more population proportions. This section includes a procedure for making multiple comparison tests between all pairs of population proportions. The section on the test of independence has been rewritten to clarify that the test concerns the independence of two categorical variables. Revised appendixes with step-by-step instructions for Minitab, Excel, and StatTools are included.
•New Case Problems. We have added 8 new case problems to this edition; the total number of cases is 31. Three new descriptive statistics cases have been added to chapters 2 and 3. Five new case problems involving regression appear in Chapters 14, 15, and 16. These case problems provide students with the opportunity to analyze larger data sets and prepare managerial reports based on the results of their analysis.
 •New Statistics in Practice Applications. Each chapter begins with a Statistics in Practice vignette that describes an application of the statistical methodology to be covered in the chapter. New to this edition is a Statistics in Practice for Chapter 2 describing the use of data dashboards and data visualization at the Cincinnati Zoo and Botanical Garden. We have also added a Statistics i Practice to Chapter 4 describing how a NASA team used probability to assist in the rescue of 33 Chilean miners trapped by a cave-in. 
•New Examples and Exercises based on Real Data. We continue to make a significant effort to update our text examples and exercises with the most current real data and referenced sources of statistical information. In this edition, we have added approximately 180 new examples and exercises based on real data and referenced sources. Using data from sources also used by The Wall Street Journal, USA Today, Barron's, and others, we have drawn from actual studies to develop explanations and to create exercises that demonstrate the many uses of statistics in business and economics. We believe that the use of real data helps generate more student interest in the material and enables the student to learn about both the statistical methodology and its application. The twelfth edition contains over 350 examples and exercises based on real data.


1. Data and Statistics.
2. Descriptive Statistics: Tabular and Graphical Displays.
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. Comparing Multiple Proportions, Test of Independence and Goodness of Fit.
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.
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. Microsoft Excel 2010 and Tools for Statistical Analysis.
Appendix F. Computing p-Values Using Minitab and Excel.




- 描述統計學 - 第2章和第3章。我們對這些章節進行了重大修訂,加入了關於數據可視化、最佳實踐等新材料。第2章重新組織,新增了關於並列和堆疊條形圖的新材料,並新增了關於數據可視化和最佳實踐的有效展示的新節。第3章現在在位置測量的部分包括了幾何平均數的內容。幾何平均數在計算金融資產增長率、年利率等方面有很多應用。第3章還新增了關於數據儀表板以及如何將摘要統計信息納入其中以提高效果的新節。
- 離散概率分佈 - 第5章。本章的入門材料已經修訂,以更好地解釋概率分佈的作用,並展示如何使用第4章中的分配概率材料來發展離散概率分佈。我們指出,通過使用相對頻率方法分配概率,可以開發出經驗離散概率分佈。根據許多用戶的要求,我們新增了一個新的第5.4節,涵蓋了雙變量離散分佈和金融應用。我們展示了如何使用這些分佈來構建和分析金融投資組合。
- 第12章 - 比較多個比例、獨立性檢驗和適合度檢驗。本章經過了重大修訂。我們新增了一個新的節,用於測試三個或更多個母體比例的相等性。該節包括一個程序,用於在所有母體比例之間進行多重比較測試。獨立性檢驗的部分已經重寫,以澄清該檢驗涉及兩個類別變量的獨立性。附錄中還包含了Minitab、Excel和StatTools的逐步指導。
- 新的案例問題。本版新增了8個新的案例問題,總數為31個。第2章和第3章新增了三個新的描述統計學案例。第14、15和16章新增了五個涉及回歸的案例問題。這些案例問題為學生提供了分析更大數據集並根據分析結果準備管理報告的機會。
- 新的實踐統計應用。每章開始時都有一個實踐統計學的短篇故事,描述了該章節將要介紹的統計方法的應用。本版新增了第2章的一個實踐統計學,描述了辛辛那提動物園和植物園使用數據儀表板和數據可視化的應用。我們還新增了第4章的一個實踐統計學,描述了NASA團隊如何使用概率來協助救援被困在洞穴中的33名智利礦工。
- 基於真實數據的新例子和練習。我們繼續努力使用最新的真實數據和統計信息來更新我們的教材例子和練習。在本版中,我們新增了約180個基於真實數據的新例子和練習。