The Basic Practice of Statistics, 6/e (IE)
暫譯: 統計學基本實務,第6版 (IE)

David Moore, William I. Notz, Michael A. Fligner

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<內容簡介>

The Basic Practice of Statistics (BPS) is designed to give a working knowledge of the ideas and tools of practical statistics. Through accessible language and engaging examples and exercises based on real data, BPS explains both the mechanics and the concepts needed for statistical work. The Sixth Edition maintains the textbook's focus on statistical reasoning and real-life situations and data, while updating the organisation, exercises and examples to better reflect the needs and experiences of today's student.

Here are a few highlights of the revised Sixth Edition:

Updated Exercises and Examples:
More than 20 percent of all examples and exercises have been revised or updated. Contemporary situations and up-to-date data cover a number of fields, including environmental studies, agriculture, business and finance, technology, biology, psychology, health and medicine, education, sports, and entertainment. New examples and exercises draw on topics such as texting while driving, CO2 emissions, the Gulf oil spill, and how weather influences tipping. Each chapter also features a new set of 'Exploring the Web' exercises that encourage readers to go online to analyze data, investigate statistical issues, and learn about new applications of statistics.

Improved coverage:
In addition to updates and improvements to coverage throughout the text, the topic of inference has been expanded to include separate chapters on confidence intervals (Chapter 14), tests of significance (Chapter 15), and inference in practice (Chapter 16). The revised format allows students to focus on the basics of each procedure separately before discussing cautions about the use of both in practice.

Helpful navigation:
Chapter summaries now consist of two sections: The first section, 'Chapter Specifics,' summarizes the material presented in the chapter. The second section, 'Link It,' relates the chapter content to material in previous and upcoming chapters. Together, 'Chapter Specifics' and 'Link It' show how individual chapters relate to one another and to the overall practice of statistics.


<章節目錄>

PART I Exploring Data
1. Picturing Distributions with Graphs
2. Describing Distributions with Numbers
3. The Normal Distributions
4. Scatterplots and Correlation
5. Regression
6. Two-Way Tables
7. Exploring Data: Part I Review
PART II: FROM EXPLORATION TO INFERENCE
8. Producing Data: Sampling
9. Producing Data: Experiments
10. Introducing Probability
11. Sampling Distributions
12. General Rules of Probability
13. Binomial Distributions
14. Confidence Intervals: The Basics
15. Tests of Significance: The Basics
16. Inference in Practice
17. From Exploration to Inference: Part II Review
PART III: INFERENCE ABOUT VARIABLES
18. Inference about a Population Mean
19. Two-Sample Problems
20. Inference about a Population Proportion
21. Comparing Two Proportions
22. Inference about Variables: Part III Review
PART IV: INFERENCE ABOUT RELATIONSHIPS
23. Two Categorical Variables: The Chi-Square Test
24.Inference for Regression
25.One-Way Analysis of Variance
PART V: OPTIONAL COMPANION CHAPTERS (available online)
26. Nonparametric Tests
27. Statistical Process Control
28. Multiple Regression
29. More about Analysis of Variance

商品描述(中文翻譯)

內容簡介
《統計學的基本實踐 (BPS)》旨在提供實用統計的概念和工具的工作知識。透過易於理解的語言和基於真實數據的引人入勝的範例和練習,BPS 解釋了進行統計工作所需的機制和概念。第六版保持了教科書對統計推理和現實生活情境及數據的關注,同時更新了組織、練習和範例,以更好地反映當今學生的需求和經驗。

以下是修訂版第六版的一些亮點:

更新的練習和範例:
超過 20% 的範例和練習已被修訂或更新。當代情境和最新數據涵蓋了多個領域,包括環境研究、農業、商業與金融、科技、生物學、心理學、健康與醫學、教育、體育和娛樂。新的範例和練習涉及的主題包括開車時發簡訊、二氧化碳排放、墨西哥灣石油洩漏,以及天氣如何影響小費。每章還新增了一組「探索網路」的練習,鼓勵讀者上網分析數據、調查統計問題,並了解統計的新應用。

改進的內容覆蓋:
除了對文本中內容的更新和改進外,推論的主題已擴展,包含有關信賴區間(第 14 章)、顯著性檢定(第 15 章)和實踐中的推論(第 16 章)的單獨章節。修訂的格式使學生能夠分別專注於每個程序的基本概念,然後再討論在實踐中使用這些程序的注意事項。

有用的導航:
章節摘要現在由兩個部分組成:第一部分「章節細節」總結了章節中呈現的材料。第二部分「連結它」將章節內容與前後章節的材料相關聯。「章節細節」和「連結它」共同展示了各個章節之間的關係以及與整體統計實踐的關聯。

章節目錄
PART I 探索數據
1. 用圖形描繪分佈
2. 用數字描述分佈
3. 常態分佈
4. 散佈圖與相關性
5. 迴歸
6. 二維表
7. 探索數據:第一部分回顧
PART II:從探索到推論
8. 產生數據:抽樣
9. 產生數據:實驗
10. 介紹機率
11. 抽樣分佈
12. 機率的一般規則
13. 二項分佈
14. 信賴區間:基本概念
15. 顯著性檢定:基本概念
16. 實踐中的推論
17. 從探索到推論:第二部分回顧
PART III:有關變數的推論
18. 有關母體平均數的推論
19. 兩樣本問題
20. 有關母體比例的推論
21. 比較兩個比例
22. 有關變數的推論:第三部分回顧
PART IV:有關關係的推論
23. 兩個類別變數:卡方檢定
24. 迴歸的推論
25. 單因子變異數分析
PART V:可選的附加章節(在線提供)
26. 非參數檢定
27. 統計過程控制
28. 多重迴歸
29. 更多有關變異數分析的內容