The Basic Practice of Statistics (絕)
- 20本以上，享 8.5折
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- 一般書籍
- ISBN：9781464117664
- 作者：David Moore, William I. Notz, Michael A. Fligner
- 版次：1
- 年份：2012
- 出版商：Macmillan Publishers
- 頁數/規格：745頁/平裝彩色
書籍介紹
目錄
Description
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.
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.
Table of Contents
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
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
