Statistics: The Art & Science of Learning from Data, 4/e (Paperback)

Statistics: The Art & Science of Learning from Data, 4/e (Paperback)

作者: Christine A Franklin (author) Bernhard Klingenberg (author) Alan Agresti (author)
出版社: Pearson FT Press
出版在: 2017-01-04
ISBN-13: 9781292164779
ISBN-10: 1292164778
裝訂格式: Paperback
總頁數: 816 頁





內容描述


Statistics: The Art and Science of Learning from Data, Fourth Edition, takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analyzing data, rather than just memorizing procedures. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible, without compromising the necessary rigor. Students will enjoy reading this book, and will stay engaged with its wide variety of real-world data in the examples and exercises.
The authors believe that it’s important for students to learn and analyze both quantitative and categorical data. As a result, the text pays greater attention to the analysis of proportions than many other introductory statistics texts. Concepts are introduced first with categorical data, and then with quantitative data.
MyStatLab™ not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.
MyStatLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.


目錄大綱


PART ONE: 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 TWO: PROBABILITY, PROBABILITY DISTRIBUTIONS, AND SAMPLING DISTRIBUTIONS
  5. Probability in Our Daily Lives
  6. Probability Distributions
  7. Sampling Distributions
    PART THREE: INFERENTIAL STATISTICS
  8. Statistical Inference: Confidence Intervals
  9. Statistical Inference: Significance Tests About Hypotheses
  10. Comparing Two Groups
    PART FOUR: ANALYZING ASSOCIATION 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



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