Statistics: The Art and Science of Learning from Data 2/e (絕)
- 20本以上，享 8.5折
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- 一般書籍
- ISBN：9780131357464
- 作者：Alan Agresti, Christine A. Franklin
- 版次：2
- 年份：2008
- 出版商：Pearson Education
書籍介紹
本書特色
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作者介紹
Description
Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Second Edition helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor.
The varied and data-rich examples and exercises place heavy emphasis on thinking about and understanding statistical concepts. The applications are topical and current, and successfully illustrate the relevance of statistics. The authors believe that it is important for students to be comfortable with analyzing both quantitative and categorical data. Every day in the media, students see and hear percentages and rates being used to summarize opinion polls, outcomes of medical studies, and economic reports. As a result, greater attention is paid to the analysis of proportions than is typical of many introductory statistic texts.
Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Second Edition helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor.
The varied and data-rich examples and exercises place heavy emphasis on thinking about and understanding statistical concepts. The applications are topical and current, and successfully illustrate the relevance of statistics. The authors believe that it is important for students to be comfortable with analyzing both quantitative and categorical data. Every day in the media, students see and hear percentages and rates being used to summarize opinion polls, outcomes of medical studies, and economic reports. As a result, greater attention is paid to the analysis of proportions than is typical of many introductory statistic texts.
New to This Edition
- A new chapter devoted exclusively to Sampling Distributions (Chapter 7) separates this material from Probability Distributions (Chapter 6) to provide a more focused and better paced introduction. The use of the sampling distribution applet motivates the discussion and provides a compelling visual introduction to this challenging concept.
- 30% new or updated exercises ensure students have ample opportunity to practice techniques and apply their knowledge. Updated, current data comes from a variety of sources, including the 2006 General Social Survey.
- A New Part organization divides the book into four Parts. Each Part concludes with a substantive Part Review to help students understand the “big picture” and solve exercises that review the key concepts, ideas, and techniques. Included are Summary Questions that conclude each Part; Summary Examples that continue the example-driven presentation of this text; and comprehensive Part Exercises.
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Refined and expanded applets provide students with greater opportunity and more flexibility to conduct simulations that will help them visualize and understand key concepts.
Every new copy of the Student Edition comes with a CD-ROM that contains data sets, additional activities, and applets, which have been expanded and enhanced for this edition. - The CD-ROM included with the Instructor’s Edition contains Instructor-to-Instructor videos for every chapter that detail the authors’ approach to concepts and their suggestions for presentation. These videos compliment the Instructors Edition’s chapter introductions - the “blue pages.”
Table of Contents
PART 1: GATHERING and EXPLORING DATA
1. Statistics: The Art and Science of Learning from Data
2. Exploring Data with Graphs and Numerical Summaries
3. Association: Contingency, Correlation, and Regression
4. Gathering Data
PART 2: PROBABILITY AND PROBABILITY DISTRIBUTIONS
5. Probability in our Daily Lives
6. Probability Distributions
7. Sampling Distributions
PART 3: INFERENCE STATISTICS
8. Statistical Inference: Confidence Intervals
9. Statistical Inference: Significance Tests about Hypotheses
10. Comparing Two Groups
PART 4: ANALYZING ASSOCIATIONS AND EXTENDED STATISTICAL METHODS
11. Analyzing the Association Between Categorical Variables
12. Analyzing the Association Between Quantitative Variables: Regression Analysis
13. Multiple Regression
14. Comparing Groups: Analysis of Variance Methods
15. Nonparametric Statistics
PART 1: GATHERING and EXPLORING DATA
1. Statistics: The Art and Science of Learning from Data
2. Exploring Data with Graphs and Numerical Summaries
3. Association: Contingency, Correlation, and Regression
4. Gathering Data
PART 2: PROBABILITY AND PROBABILITY DISTRIBUTIONS
5. Probability in our Daily Lives
6. Probability Distributions
7. Sampling Distributions
PART 3: INFERENCE STATISTICS
8. Statistical Inference: Confidence Intervals
9. Statistical Inference: Significance Tests about Hypotheses
10. Comparing Two Groups
PART 4: ANALYZING ASSOCIATIONS AND EXTENDED STATISTICAL METHODS
11. Analyzing the Association Between Categorical Variables
12. Analyzing the Association Between Quantitative Variables: Regression Analysis
13. Multiple Regression
14. Comparing Groups: Analysis of Variance Methods
15. Nonparametric Statistics
Alan Agresti is Distinguished Professor in the Department of Statistics at the University of Florida. He has been teaching statistics there for 35 years, including the development of three courses in statistical methods for social science students and three courses in categorical data analysis. He is author of over 100 refereed article and five texts including "Statistical Methods for the Social Sciences" (with Barbara Finlay, Prentice Hall, 4th edition 2009) and "Categorical Data Analysis" (Wiley, 2nd edition 2002). He is a Fellow of the American Statistical Association and recipient of an Honorary Doctor of Science from De Montfort University in the UK. In 2003 Alan was named "Statistician of the Year" by the Chicago chapter of the American Statistical Association and in 2004 he was the first honoree of the Herman Callaert Leadership Award in Biostatistical Education and Dissemination awarded by the University of Limburgs, Belgium. He has held visiting positions at Harvard University, Boston University, London School of Economics, and Imperial College and has taught courses or short courses for universities and companies in about 30 countries worldwide. Alan has also received teaching awards from UF and an excellence in writing award from John Wiley & Sons.
