【统计学，国际版】 Statistics : The Art and Science of Learning from Data (2017)

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Statistics: The Art and Science of Learning from Data, Global Edition (4e)

Alan Agresti



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.

Table of contents

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

Tables

Answers

Index

Index of Applications

Photo Credits

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Statistics: The Art and Science of Learning from Data

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