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書名：Essentials of Statistics for Business and Economics 9/e AE【內含Access Code,經刮除不受退】 作者：ANDERSON 出版社：CENGAGE 出版日期：2020/00/00 ISBN：9789814866316 內容簡介 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. 目錄 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.