Essentials of Statistics for Business and Economics, 9/e (IE-Paperback)【內含Access Code,經刮除不受退】
暫譯: 商業與經濟統計學要素，第9版 (IE-平裝本)【內含存取碼，經刮除不受退】
David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann
- 出版商: Cengage Learning
- 出版日期: 2019-01-01
- 定價: $1,420
- 售價: 9.8 折 $1,392
- 語言: 英文
- 頁數: 888
- ISBN: 9814866318
- ISBN-13: 9789814866316
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相關分類:
機率統計學 Probability-and-statistics、經濟學 Economy
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其他版本:
Essentials of Statistics for Business and Economics, 10/e (AE-Paperback)
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商品描述
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.
商品描述(中文翻譯)
本書序言
●值得信賴的卓越作者團隊確保最準確、經過驗證的呈現。商業和統計領域的知名領導者及活躍顧問，作者 David R. Anderson、Dennis J. Sweeney、Thomas A. Williams、Jeffrey D. Camm、James J. Cochran、Michael J. Fry 和 Jeffrey W. Ohlmann 提供您可以信賴的統計概念的準確、真實世界的呈現，每一版皆是如此。
●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，徹底掌握技術的使用，然後再進入統計應用及技術價值的解釋。每個部分結尾的「方法練習」強調計算和公式的使用，而「應用練習」則要求學生將他們對統計的理解應用於真實世界的問題。
本書特色
方法練習與應用練習
每個部分結尾的練習分為兩類：方法與應用。方法練習要求學生使用公式並進行必要的計算。應用練習則要求學生在真實情境中使用章節內容。因此，學生首先專注於計算的「基本要素」，然後再進入統計應用和解釋的微妙之處。
邊欄註解與備註和評論
邊欄註解突顯關鍵點並為學生提供額外見解，是本書的一大特色。這些註解出現在邊欄，旨在強調並增強對文本中所呈現的術語和概念的理解。
在許多部分的結尾，我們提供備註和評論，旨在為學生提供有關統計方法及其應用的額外見解。備註和評論包括對方法的警告或限制、應用建議、額外技術考量的簡要描述及其他事項。
數據檔案隨書附贈
本書附有超過200個數據檔案。數據檔案以Excel格式提供，並在附錄1.1中提供了如何在JMP中打開Excel檔案的逐步指導。用於R的檔案以逗號分隔值（CSV）格式提供，方便加載到R環境中。將CSV檔案導入R的逐步指導在MindTap Reader附錄R 1.2中提供。
數據檔案可從WebAssign的資源部分訪問，或直接在MindTap Reader中通過點擊DATAfile圖標訪問，或在線直接訪問 www.cengage.com/decisionsciences/anderson/sbe/14e。
目錄大綱
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.
目錄大綱(中文翻譯)
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.
