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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 (Subscription)

ISBN-13: 9780133860917

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Overview

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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