Statistics: The Art and Science of Learning from Data plus MyStatLab with Pearson eText, Global Edition

Series
Pearson
Author
Alan Agresti / Christine A. Franklin / Bernhard Klingenberg  
Publisher
Pearson
Cover
Softcover
Edition
4
Language
English
Pub.-date
March 2017
ISBN13
9781292164878
ISBN
1292164875
Related Titles


Product detail

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9781292164878
Statistics: The Art and Science of Learning from Data plus MyStatLab with Pearson eText, Global Edition
77.90 approx. 7-9 days

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Description

For courses in introductory statistics.

This package includes MyStatLab.

 

 

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.

 

This package includes MyStatLab, an online homework, tutorial, and assessment program designed to work with this text 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.

 

MyStatLab should only be purchased when required by an instructor. Please be sure you have the correct ISBN and Course ID. Instructors, contact your Pearson representative for more information.

Features

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States.

 

About the Book

  • NEW! Topical coverage reflecting the latest trends in statistical education, including:
    • Measures of association for categorical variables in Chapter 3
    • Permutation testing in Chapters 10 and 11
    • Updated coverage of McNemar's test in Chapter 10 (previously Chapter 11)
  • Promoting Student Learning: these features were created to motivate students to think about the material presented, ask interesting questions, and develop good problem-solving skills.
    • In Words summarizes complicated symbolic notation and formal definitions in a non-technical, less formal way to help students understand “what it really means.”
    • New Caution margin boxes appear at appropriate places to help students avoid common mistakes.
    • Recall margin boxes direct students back to previous presentations in the text to review definitions and formulas, and to reinforce key concepts in context.
    • Did You Know margin boxes provide information that helps with the contextual understanding of the statistical questions.
    • Annotated figures feature labels to identify noteworthy aspects in each illustration that may not be obvious to inexperienced students; many captions include questions designed to challenge students to think more about the information being presented.
    • Active learning is encouraged through the use of simulations and hands-on activities via Learning Catalytics.
    • Learning Catalytics is a web-based engagement and assessment tool. As a "bring-your-own-device" direct response system, Learning Catalytics offers a diverse library of dynamic question types that allow students to interact with and think critically about statistical concepts. As a real-time resource, instructors can take advantage of critical teaching moments both in the classroom or through assignable and gradable homework.
  • Real-World Connections
    • Chapter-opening examples include a high-interest example that raises questions and establishes a chapter theme. Opening examples use real-world data from a variety of applications.
    • In Practice boxes alert students to the way statisticians actually analyze data in the real world.
  • Exercises and Examples incorporate real data and focus on intriguing topics that appeal to students.
    • Examples emphasize thinking about and understanding statistics through analysis of current real data. The unique five-step format encourages students to model the thought processes required to examine issues in statistics.
      • Picture the Scenario presents background information so that students can understand the context of the data.
      • Questions to Explore show students the appropriate questions to ask about the scenario and focus on what students should learn from the example.
      • Think It Through is the heart of each example, as the Questions to Explore are investigated and answered using the appropriate statistical methods.
      • Insight clarifies the central ideas investigated in the example and places them in a broader context that states the conclusions in less technical terms. This step also connects concepts from other sections in the book.
      • A Try Exercise directs students to an end-of-section exercise that allows immediate practice of the concept
      • Concept tags are included with each example so that students can easily identify the concept demonstrated in the example.
      • NEW and updated example videos are available in MyStatLab for students to watch as they work through in-text examples.
    • A plethora of chapter exercises test student comprehension through interesting real-data problems. Exercises, divided into three categories, address relevant and thought-provoking topics, such as cell phone usage, cancer, and public support for the death penalty.
      • Practicing the Basics reinforce basic applications of methods.
      • Concepts and Investigations require students to explore the theory and concepts presented in the chapter through real data sets.
      • Student Activities are appropriate for individual or group work and often make use of the web apps that accompany the text.
    • “Part” organization divides the book into four Parts. Each Part has a corresponding Part Review in MyStatLab to help students understand the “big picture” and solve exercises that review the key concepts, ideas, and techniques. Included are Summary Questions, Summary Examples, and Part Exercises.
  • Technology Integration
    • Modern technological techniques are used to develop concepts and analyze data. Output from computer software (Minitab®, StatCrunch, Microsoft Excel®) and the TI-83/84 Plus graphing calculator is used to illustrate many concepts.
    • Activities and Web Apps referred to in the text are found within MyStatLab or at the Companion Website (www.pearsonhighered.com/AFK). The use of web apps offers a way to show students certain concepts visually.
  • Helpful instructor features
    • Chapter-specific Instructor Notes appear in the Annotated Instructor’s Edition. These time-saving notes give insights into the authors’ approach to the material, suggestions for additional classroom examples and activities, learning objectives, and other helpful teaching tips.
    • UPDATED! Instructor-to-Instructor videos feature the authors’ perspectives on chapters and helpful suggestions for how to teach from the book. The videos can be accessed through a link in Pearson’s Instructor Resource Center and through MyStatLab.

 

 

This package includes MyStatLab™, an online homework, tutorial, and assessment program designed to work with this text 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.

  • NEW! Increased exercise coverage on 60% of the book's exercises, gives instructors even more options when creating assignments.
  • NEW! Web Apps—delivered through examples, exercises, and simulations—allow students to interact with key statistical concepts and techniques, including permutation tests, bootstrapping, and sampling distributions. Students can explore the consequences of changing parameters and carry out statistical inference.
  • UPDATED! Technology Instruction Videos provide step-by-step instructions on how to perform statistical procedures using Excel®, Minitab®, StatCrunch, and the TI Graphing Calculator.
  • StatCrunch is integrated within the eBook. With a single click, the data set on the page opens in StatCrunch, allowing point-of-use data analysis.
  • Conceptual Question Library: In addition to algorithmically regenerated questions that are aligned with the textbook, there is also a library of 1,000 Conceptual Questions that focus on student understanding of statistical concepts.
  • Getting Ready for Statistics: A library of questions focusing on developmental math topics is available. These can be assigned as a prerequisite to other assignments, if desired.
NEW! Learning Catalytics is a web-based engagement and assessment tool. As a "bring-your-own-device" direct response system, Learning Catalytics offers a diverse library of dynamic question types that allow students to interact with and think critically about statistical concepts. As a real-time resource, instructors can take advantage of critical teaching moments both in the classroom or through assignable and gradable homework.

New to this Edition

About the Book

 

  • NEW! Topical coverage reflecting the latest trends in statistical education, including:
    • Measures of association for categorical variables in Chapter 3
    • Permutation testing in Chapters 10 and 11
    • Updated coverage of McNemar's test in Chapter 10 (previously Chapter 11)
  • New Caution margin boxes appear at appropriate places to help students avoid common mistakes.

 

This package includes MyStatLab™, an online homework, tutorial, and assessment program designed to work with this text 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.

  • Increased exercise coverage on 60% of the book's exercises, gives instructors even more options when creating assignments.
  • Web Apps—delivered through examples, exercises, and simulations—allow students to interact with key statistical concepts and techniques, including permutation tests, bootstrapping, and sampling distributions. Students can explore the consequences of changing parameters and carry out statistical inference.
  • UPDATED! Technology Instruction Videos provide step-by-step instructions on how to perform statistical procedures using Excel®, Minitab®, StatCrunch, and the TI Graphing Calculator.
  • UPDATED! Instructor-to-Instructor videos feature the authors’ perspectives on chapters and helpful suggestions for how to teach from the book. The videos can be accessed through a link in Pearson’s Instructor Resource Center and through MyStatLab.
  • Learning Catalytics is a web-based engagement and assessment tool. As a "bring-your-own-device" direct response system, Learning Catalytics offers a diverse library of dynamic question types that allow students to interact with and think critically about statistical concepts. As a real-time resource, instructors can take advantage of critical teaching moments both in the classroom or through assignable and gradable homework.

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

   Chapter Summary

   Chapter Problems

 

7. Sampling Distributions

7.1 How Sample Proportions Vary Around the Population Proportion

7.2 How Sample Means Vary Around the Population Mean

   Chapter Summary

   Chapter Problems

 

   Part Review 2 (ONLINE)

 

PART THREE: INFERENTIAL STATISTICS

 

8. Statistical Inference: Confidence Intervals

8.1 Point and Interval Estimates of Population Parameters

8.2 Constructing a Confidence Interval to Estimate a Population Proportion

8.3 Constructing a Confidence Interval to Estimate a Population Mean

8.4 Choosing the Sample Size for a Study

8.5 Using Computers to Make New Estimation Methods Possible

   Chapter Summary

   Chapter Problems

 

9. Statistical Inference: Significance Tests About Hypotheses

9.1 Steps for Performing a Significance Test

9.2 Significance Tests About Proportions

9.3 Significance Tests About Means

9.4 Decisions and Types of Errors in Significance Tests

9.5 Limitations of Significance Tests

9.6 The Likelihood of a Type II Error

   Chapter Summary

   Chapter Problems

 

10. Comparing Two Groups

10.1 Categorical Response: Comparing Two Proportions

10.2 Quantitative Response: Comparing Two Means

10.3 Other Ways of Comparing Means and Comparing Proportions

10.4 Analyzing Dependent Samples

10.5 Adjusting for the Effects of Other Variables

   Chapter Summary

   Chapter Problems

 

   Part Review 3 (ONLINE)

 

PART FOUR: ANALYZING ASSOCIATION AND EXTENDED STATISTICAL METHODS

 

11. Analyzing the Association Between Categorical Variables

11.1 Independence and Dependence (Association)

11.2 Testing Categorical Variables for Independence

11.3 Determining the Strength of the Association

11.4 Using Residuals to Reveal the Pattern of Association

11.5 Fisher’s Exact and Permutation Tests

   Chapter Summary

   Chapter Problems

 

12. Analyzing the Association Between Quantitative Variables: Regression Analysis

12.1 Modeling How Two Variables Are Related

12.2 Inference About Model Parameters and the Association

12.3 Describing the Strength of Association

12.4 How the Data Vary Around the Regression Line

12.5 Exponential Regression: A Model for Nonlinearity

   Chapter Summary

   Chapter Problems

 

13. Multiple Regression

13.1 Using Several Variables to Predict a Response

13.2 Extending the Correlation and R2 for Multiple Regression

13.3 Using Multiple Regression to Make Inferences

13.4 Checking a Regression Model Using Residual Plots

13.5 Regression and Categorical Predictors

13.6 Modeling a Categorical Response

   Chapter Summary

   Chapter Problems

 

14. Comparing Groups: Analysis of Variance Methods

14.1 One-Way ANOVA: Comparing Several Means

14.2 Estimating Differences in Groups for a Single Factor

14.3 Two-Way ANOVA

   Chapter Summary

   Chapter Problems

 

15. Nonparametric Statistics

15.1 Compare Two Groups by Ranking

15.2 Nonparametric Methods for Several Groups and for Matched Pairs

   Chapter Summary

   Chapter Problems

 

   Part Review 4 (ONLINE)

 

Tables

Answers

Index

Index of Applications

Photo Credits