Essentials of Statistics for Business and Economics, 9/e (IE-Paperback)【內含Access Code,經刮除不受退】

本書序言

●TRUSTED TEAM OF DISTINGUISHED AUTHORS ENSURES THE MOST ACCURATE, PROVEN PRESENTATION. Prominent leaders and active consultants in business and statistics, authors David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Michael J. Fry and Jeffrey W. Ohlmann deliver an accurate, real-world presentation of statistical concepts you can trust with every edition.

●SYSTEMATIC APPROACH EMPHASIZES PROVEN METHODS AND APPLICATIONS. Students first develop a computational foundation and thoroughly master the use of techniques before moving to statistical application and interpretation of the value of techniques. Methods Exercises at the end of each section stress computation and use of formulas, while Application Exercises require students to apply what they know about statistics to real-world problems

本書特色

Methods Exercises and Applications Exercises
The end-of-section exercises are split into two pails. Methods and Applications. The Methods exercises require students to use the formulas and make the necessary computations. The Applications exercises require students to use the chapter material in real-world situations. Thus, students first focus on the computational "nuts and bolts" and then move on to the subtleties of statistical application and interpretation.
Margin Annotations and Notes and Comments
Margin annotations that highlight key points and provide additional insights for the student are a key feature of this text. These annotations, which appear in the margins, are designed to provide emphasis and enhance understanding of the terms and concepts being presented in the text.
   At the end of many sections, we provide Notes and Comments designed to give the
student additional insights about the statistical methodology and its application. Notes and Comments include warnings about or limitations of the methodology, recommendations for application, brief descriptions of additional technical considerations, and other matters.
Data Files Accompany the Text
Over 200 data files accompany this text. Data files are provided in Excel format and step-by-step instructions on how to open Excel files in JMP are provided in Appendix 1.1. Files for use with R are provided in comma-separated-value (CSV) format for easy loading into the R environment. Step-by-step instructions for importing CSV files into R are provided in MindTap Reader Appendix R 1.2.
   The data files can be accessed from WebAssign within the resources section, directly within the MindTap Reader by clicking on the DATAfile icon, or online directly at www.cengage.com/decisionsciences/anderson/sbe/14e.

本書序言

● 由一群傑出作者組成的可信團隊確保最準確、經過驗證的呈現方式。商業和統計領域的知名領導者和活躍顧問，作者David R. Anderson、Dennis J. Sweeney、Thomas A. Williams、Jeffrey D. Camm、James J. Cochran、Michael J. Fry和Jeffrey W. Ohlmann以每一版都能信賴的方式，提供準確、實際的統計概念呈現。

● 系統化的方法強調經過驗證的方法和應用。學生首先建立計算基礎，並在掌握技巧的使用之後，再進行統計應用和技巧價值的解釋。每個章節結束時的方法練習強調計算和公式的使用，而應用練習則要求學生將所學的統計知識應用於實際問題中。

本書特色

方法練習和應用練習
每個章節結束時的練習分為兩部分：方法和應用。方法練習要求學生使用公式進行計算。應用練習要求學生將章節內容應用於實際情境中。因此，學生首先專注於計算的基礎，然後再轉向統計應用和解釋的細節。

邊緣註釋和註解
突出關鍵點並為學生提供額外見解的邊緣註釋是本書的一個重要特點。這些註釋出現在邊緣，旨在強調和增強對文本中所呈現的術語和概念的理解。

在許多章節的結尾，我們提供註解和評論，旨在為學生提供有關統計方法和應用的額外見解。註解和評論包括對方法的警告或限制、應用建議、對其他技術考慮事項的簡要描述等。

數據文件隨附本書
本書附帶超過200個數據文件。數據文件以Excel格式提供，附帶了如何在JMP中打開Excel文件的逐步說明，詳見附錄1.1。用於R的文件以逗號分隔值（CSV）格式提供，方便在R環境中載入。導入CSV文件到R的逐步說明詳見MindTap Reader附錄R 1.2。

數據文件可以從WebAssign的資源部分中獲取，也可以直接在MindTap Reader中點擊DATAfile圖標進行訪問，或者直接在www.cengage.com/decisionsciences/anderson/sbe/14e網站上線訪問。

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.
Appendix A: References and Bibliography.
Appendix B: Tables.
Appendix C: Summation Notation.
Appendix D: Answers to Even-Numbered Exercises. (MindTap Reader)
Appendix E: Microsoft Excel 2016 and Tools for Statistical Analysis.
Appendix F: Computing p-Values with JMP and Excel. 

1. 數據與統計。
2. 描述性統計：表格和圖形展示。
3. 描述性統計：數值測量。
4. 概率入門。
5. 離散概率分佈。
6. 連續概率分佈。
7. 抽樣和抽樣分佈。
8. 區間估計。
9. 假設檢驗。
10. 關於兩個母體的均值和比例的推論。
11. 關於母體變異數的推論。
12. 比較多個比例，獨立性檢驗和適合度檢驗。
13. 實驗設計和變異數分析。
14. 簡單線性回歸。
15. 多元回歸。
附錄A：參考文獻和書目。
附錄B：表格。
附錄C：總和符號。
附錄D：偶數編號練習的答案（MindTap Reader）。
附錄E：Microsoft Excel 2016和統計分析工具。
附錄F：使用JMP和Excel計算p值。