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Statistics: The Art and Science of Learning from Data, 4th edition

  • Alan Agresti
  • Christine A Franklin
  • Bernhard Klingenberg

Published by Pearson (January 3rd 2016) - Copyright © 2017

4th edition

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Statistics: The Art and Science of Learning from Data

ISBN-13: 9780321997838

Includes: Hardcover
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$191.99 $239.99

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  • Hardcover

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Overview

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.

 

KEY TOPICS: GATHERING AND EXPLORING DATA–Statistics: The Art and Science of Learning from Data; Exploring Data with Graphs and Numerical Summaries; Association: Contingency, Correlation, and Regression; Gathering Data; PROBABILITY, PROBABILITY DISTRIBUTIONS, AND SAMPLING DISTRIBUTIONS–Probability in Our Daily Lives; Probability Distributions; Sampling Distributions; INFERENTIAL STATISTICS–Statistical Inference: Confidence Intervals; Statistical Inference: Significance Tests About Hypotheses; Comparing Two Groups; ANALYZING ASSOCIATION AND EXTENDED STATISTICAL METHODS–Analyzing the Association Between Categorical Variables; Analyzing the Association Between Quantitative Variables: Regression Analysis; Multiple Regression; Comparing Groups: Analysis of Variance Methods; Nonparametric Statistics

 

MARKET: For all readers interested in introductory statistics.

 

Table of contents

Preface

 

PART ONE: GATHERING AND EXPLORING DATA

 

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

1.1 Using Data to Answer Statistical Questions

1.2 Sample Versus Population

1.3 Using Calculators and Computers

            Chapter Summary

            Chapter Problems

 

2. Exploring Data with Graphs and Numerical Summaries

2.1 Different Types of Data

2.2 Graphical Summaries of Data

2.3 Measuring the Center of Quantitative Data

2.4 Measuring the Variability of Quantitative Data

2.5 Using Measures of Position to Describe Variability

2.6 Recognizing and Avoiding Misuses of Graphical Summaries

            Chapter Summary

            Chapter Problems

 

3. Association: Contingency, Correlation, and Regression

3.1 The Association Between Two Categorical Variables

3.2 The Association Between Two Quantitative Variables

3.3 Predicting the Outcome of a Variable

3.4 Cautions in Analyzing Associations

            Chapter Summary

            Chapter Problems

 

4. Gathering Data

4.1 Experimental and Observational Studies

4.2 Good and Poor Ways to Sample

4.3 Good and Poor Ways to Experiment

4.4 Other Ways to Conduct Experimental and Nonexperimental Studies

            Chapter Summary

            Chapter Problems

 

            Part Review 1 (ONLINE)

 

PART TWO: PROBABILITY, PROBABILITY DISTRIBUTIONS, AND SAMPLING DISTRIBUTIONS

 

5. Probability in Our Daily Lives

5.1 How Probability Quantifies Randomness

5.2 Finding Probabilities

5.3 Conditional Probability

5.4 Applying the Probability Rules

            Chapter Summary

            Chapter Problems

 

6. Probability Distributions

6.1 Summarizing Possible Outcomes and Their Probabilities

6.2 Probabilities for Bell-Shaped Distributions

6.3 Probabilities When Each Observation Has Two Possible Outcomes

            Chap

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