Statistics for Business and Economics, 10/e (Paperback)

本書序言

NEW! Provide data from real agencies: New Problems and Data Sets. The eighth edition features a number of large data sets obtained from major research projects and other sources. These data sets are used in chapter examples, exercises, and case studies located at the end of analysis chapters.
●One of the largest data sets in this edition is the HEI Cost Data Variable Subset. This data file was obtained from a major nutrition-research project conducted at the Economic Research Service (ERS) of the U.S. Department of Agriculture.

NEW! Show the real-world context:
●New Case Studies. Several case studies are new to this editionfeaturing both large and small sample sizes. These cases provide students with the opportunity to extend their statistical understanding to the context of research and analysis conducted by professionals.
●Additional business examples have been added in the chapter-opener and throughout the chapter.

NEW! Cover a range of topic areas: New Coverage. Students need to be prepared with the statistical techniques that theyll use in business, which is why this edition features coverage on topics areas such as:
●Descriptive statistics
●Sampling
●Time Series
●And more!

本書特色

Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple canned applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions.

The eighth edition of this book has been revised and updated to provide students with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics.

Available with MyStatLab. MyStatLab courses use the rock solid Pearson MathXL technology for online tutorial and homework exercises that regenerate algorithmically for unlimited practice and mastery. MyStatLab courses also include essay questions that can be assigned for online tests and quizzes and other resources designed specifically to help students succeed in Statistics. Use this proven technology to help you and your students succeed. Visit mystatlab.com for more information.

本書序言

全新！提供真實機構的數據：新問題和數據集。第八版收錄了從主要研究項目和其他來源獲得的大型數據集。這些數據集用於章節示例、練習和案例研究，位於分析章節的末尾。
● 本版中最大的數據集之一是 HEI 成本數據變量子集。該數據文件來自美國農業部經濟研究局（ERS）進行的一項重大營養研究項目。

全新！展示真實世界的背景：
● 新的案例研究。本版新增了幾個案例研究，包括大樣本和小樣本。這些案例研究使學生有機會將統計理解擴展到專業人士進行的研究和分析背景中。
● 在章節開頭和整個章節中增加了其他商業示例。

全新！涵蓋多個主題領域：新的涵蓋範圍。學生需要準備好在商業中使用的統計技術，因此本版涵蓋了以下主題領域：
● 描述性統計
● 抽樣
● 時間序列
● 等等！

本書特色

《統計學與經濟學》使學生能夠對應用問題進行嚴肅的分析，而不僅僅是運行簡單的應用程序。這本教材的數學水平也比大多數商業統計教材更高，為學生提供了他們在未來管理職位上成為更強大分析師所需的知識。

本書的第八版已經修訂和更新，為學生提供了改進的問題背景，以便他們了解統計方法如何改善他們對商業和經濟的分析和理解。

可與 MyStatLab 一起使用。MyStatLab 課程使用可靠的 Pearson MathXL 技術進行在線教學和作業練習，可無限次生成算法，以實現無限練習和掌握。MyStatLab 課程還包括可分配給在線測驗和問答的文章題目，以及其他專門設計幫助學生在統計學中取得成功的資源。使用這一經過驗證的技術來幫助您和您的學生取得成功。請訪問 mystatlab.com 了解更多信息。

Paul Newbold - University of Nottingham
Bill Carlson - St. Olaf College
Betty M. Thorne - Stetson University

Paul Newbold - Nottingham大學
Bill Carlson - St. Olaf學院
Betty M. Thorne - Stetson大學

Chapter 1: Describing Data: Graphical
Chapter 2: Describing Data: Numerical
Chapter 3: Probability
Chapter 4: Discrete Random Variables and Probability Distributions
Chapter 5: Continuous Random Variables and Probability Distributions
Chapter 6: Sampling and Sampling Distributions
Chapter 7: Estimation: Single Population
Chapter 8: Estimation: Additional Topics
Chapter 9: Hypothesis Testing: Single Population
Chapter 10: Hypothesis Testing: Additional Topics
Chapter 11: Simple Regression
Chapter 12: Multiple Regression
Chapter 13: Additional Topics in Regression Analysis
Chapter 14: Analysis of Categorical Data
Chapter 15: Analysis of Variance
Chapter 16: Time-Series Analysis and Forecasting
Chapter 17: Additional Topics in Sampling

第一章：描述資料：圖形化
第二章：描述資料：數值化
第三章：機率
第四章：離散隨機變數和機率分佈
第五章：連續隨機變數和機率分佈
第六章：抽樣和抽樣分佈
第七章：估計：單一母體
第八章：估計：其他主題
第九章：假設檢定：單一母體
第十章：假設檢定：其他主題
第十一章：簡單迴歸
第十二章：多元迴歸
第十三章：迴歸分析的其他主題
第十四章：類別資料的分析
第十五章：變異數分析
第十六章：時間序列分析和預測
第十七章：抽樣的其他主題