Test Bank For Statistics The Art and Science of Learning from Data Global Edition 4th Edition by Alan Agresti, Christine Franklin, Bernhard Klingenberg ISBN 1292164778 9781292164779

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Product details:

ISBN 10: 1292164778
ISBN 13: 978-1292164779
Author: Alan Agresti, Christine A. Franklin, Bernhard Klingenberg
Statistics: The Art and Science of Learning from Data, Global Edition 4th Edition: The Art and Science of Learning from Data

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.

 

Statistics: The Art and Science of Learning from Data, Global Edition 4th Edition Table of contents:

I: GATHERING AND EXPLORING DATA

1. Statistics: The Art and Science of Learning From Data

2. Exploring Data With Graphs and Numerical Summaries

3. Exploring Relationships Between Two Variables

4. Gathering Data

II: PROBABILITY, PROBABILITY DISTRIBUTIONS, AND SAMPLING DISTRIBUTIONS

5. Probability in Our Daily Lives

6. Random Variables and Probability Distributions

7. Sampling Distributions

III: INFERENTIAL STATISTICS

8. Statistical Inference: Confidence Intervals

9. Statistical Inference: Significance Tests About Hypotheses

10. Comparing Two Groups

IV: 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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