Statistics Informed Decisions Using Data [RENTAL EDITION]

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  • Edition: 6th
  • Format: Paperback
  • Copyright: 2020-01-02
  • Publisher: Pearson Rental Program

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Supplemental Materials

What is included with this book?


This print textbook is available for students to rent for their classes. The Pearson print rental program provides students with affordable access to learning materials, so they come to class ready to succeed. 

For one- or two-semester courses in Introductory Statistics.


Build the skills to see the bigger picture and make informed choices

Packed with ideas and strategies that work in today’s classroom, Statistics: Informed Decisions Using Data embodies the current teaching experience of acclaimed author Mike Sullivan III. His practical emphasis shows students that statistics is connected not only to individual concepts, but to the world at large. 


In the 6th Edition, Sullivan ensures that all features follow the most recent Guidelines for Assessment and Instruction in Statistics Education (GAISE) for the college introductory course. This revision continues to evolve with the goal of providing clear, readable explanations, while challenging students to learn how to think conceptually about statistics. Updates include a variety of additional resources for instructors to use with their students, new and updated examples and problems that use real data to keep students motivated, and updated Integrated Review materials that can be used in a corequisite course.


Also available with MyLab Statistics

By combining trusted author content with digital tools and a flexible platform, MyLab Statistics personalizes the learning experience and improves results for each student. With MyLab Statistics and StatCrunch®, an integrated web-based statistical software program, students learn the skills they need to interact with data in the real world.


Author Biography

With training in mathematics, statistics, and economics, Mike Sullivan, III has a varied teaching background that includes 15 years of instruction in both high school- and college-level mathematics. He is currently a full-time professor of mathematics and statistics at Joliet Junior College. Mike has numerous textbooks in publication in addition to his Introductory Statistics Series – including a Developmental Math series and a Precalculus series which he writes with his father, Michael Sullivan. 

Mike built this book in the classroom, using feedback from his students. He is well aware of the challenges of students taking an introductory statistics course. His goal is for students to be more informed interpreters of data, so they will become better decision-makers with stronger critical-thinking skills. When not in the classroom or writing, Mike enjoys spending time with his three children, Michael, Kevin, and Marissa, and playing golf.

Table of Contents

Preface to the Instructor 

Resources for Success

Applications Index


1. Data Collection  

1.1 Introduction to the Practice of Statistics 

1.2 Observational Studies versus Designed Experiments

1.3 Simple Random Sampling

1.4 Other Effective Sampling Methods

1.5 Bias in Sampling

1.6 The Design of Experiments

Chapter 1 Review

Chapter Test

Making an Informed Decision: What College Should I Attend?

Case Study: Chrysalises for Cash


2. Organizing and Summarizing Data 

2.1 Organizing Qualitative Data

2.2 Organizing Quantitative Data: The Popular Displays

2.3 Additional Displays of Quantitative Data

2.4 Graphical Misrepresentations of Data

Chapter 2 Review

Chapter Test

Making an Informed Decision: Tables or Graphs?

Case Study: The Day the Sky Roared

3. Numerically Summarizing Data 

3.1 Measures of Central Tendency

3.2 Measures of Dispersion

3.3 Measures of Central Tendency and Dispersion from Grouped Data

3.4 Measures of Position and Outliers

3.5 The Five-Number Summary and Boxplots

Chapter 3 Review

Chapter Test

Making an Informed Decision: What Car Should I Buy?

Case Study: Who Was “A Mourner”?

4. Describing the Relation between Two Variables 

4.1 Scatter Diagrams and Correlation

4.2 Least-Squares Regression

4.3 Diagnostics on the Least-Squares Regression Line

4.4 Contingency Tables and Association

4.5 Nonlinear Regression: Transformations (online) 

Chapter 4 Review

Chapter Test

Making an Informed Decision: Relationships among Variables on a World Scale

Case Study: Thomas Malthus, Population, and Subsistence


5. Probability 

5.1 Probability Rules

5.2 The Addition Rule and Complements

5.3 Independence and the Multiplication Rule

5.4 Conditional Probability and the General Multiplication Rule

5.5 Counting Techniques

5.6 Simulating Probability Experiments

5.7 Putting It Together: Which Method Do I Use?

5.8 Bayes’s Rule (online) 

Chapter 5 Review

Chapter Test

Making an Informed Decision: The Effects of Drinking and Driving

Case Study: The Case of the Body in the Bag

6. Discrete Probability Distributions 

6.1 Discrete Random Variables

6.2 The Binomial Probability Distribution

6.3 The Poisson Probability Distribution

6.4 The Hypergeometric Probability Distribution (online) 

6.5 Combining Random Variables (online) 

Chapter 6 Review

Chapter Test

Making an Informed Decision: Should We Convict?

Case Study: The Voyage of the St. Andrew

7. The Normal Probability Distribution 

7.1 Properties of the Normal Distribution

7.2 Applications of the Normal Distribution

7.3 Assessing Normality

7.4 The Normal Approximation to the Binomial Probability Distribution

Chapter 7 Review

Chapter Test

Making an Informed Decision: Stock Picking

Case Study: A Tale of Blood Chemistry


8. Sampling Distributions 

8.1 Distribution of the Sample Mean

8.2 Distribution of the Sample Proportion

Chapter 8 Review

Chapter Test

Making an Informed Decision: How Much Time Do You Spend in a Day . . . ?

Case Study: Sampling Distribution of the Median

9. Estimating the Value of a Parameter 

9.1 Estimating a Population Proportion

9.2 Estimating a Population Mean

9.3 Estimating a Population Standard Deviation

9.4 Putting It Together: Which Method Do I Use?

9.5 Estimating with Bootstrapping

Chapter 9 Review

Chapter Test

Making an Informed Decision: How Much Should I Spend for this House?

Case Study: Fire-Safe Cigarettes

10. Hypothesis Tests Regarding a Parameter 

10.1 The Language of Hypothesis Testing

10.2 Hypothesis Tests for a Population Proportion

10.3 Hypothesis Tests for a Population Mean

10.4 Hypothesis Tests for a Population Standard Deviation

10.5 Putting It Together: Which Method Do I Use?

10.6 The Probability of a Type II Error and the Power of the Test

10.2A Using Simulation to Perform Hypothesis Tests on a Population Proportion (online)

10.2B Hypothesis Tests for a Population Proportion Using the Normal Model (online)

10.3A Using Simulation and the Bootstrap to Perform Hypothesis Tests on a Population Mean (online) 

Chapter 10 Review

Chapter Test

Making an Informed Decision: Selecting a Mutual Fund

Case Study: How Old Is Stonehenge?

11. Inference on Two Population Parameters 

11.1 Inference about Two Population Proportions

11.2 Inference about Two Means: Dependent Samples

11.3 Inference about Two Means: Independent Samples

11.4 Inference about Two Population Standard Deviations

11.5 Putting It Together: Which Method Do I Use?

11.1A Using Randomization Techniques to Compare Two Proportions (online)

11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means (online) 

11.3A Using Randomization Techniques to Compare Two Independent Means (online) 

Chapter 11 Review

Chapter Test

Making an Informed Decision: Which Car Should I Buy?

Case Study: Control in the Design of an Experiment

12. Inference on Categorical Data 

12.1 Goodness-of-Fit Test

12.2 Tests for Independence and the Homogeneity of Proportions

12.3 Inference about Two Population Proportions: Dependent Samples

Chapter 12 Review

Chapter Test

Making an Informed Decision: Benefits of College

Case Study: Feeling Lucky? Well, Are You?

13. Comparing Three or More Means 

13.1 Comparing Three or More Means (One-Way Analysis of Variance)

13.2 Post Hoc Tests on One-Way Analysis of Variance

13.3 The Randomized Complete Block Design

13.4 Two-Way Analysis of Variance

Chapter 13 Review

Chapter Test 687

Making an Informed Decision: Where Should I Invest?

Case Study: Hat Size and Intelligence

14. Inference on the Least-Squares Regression Model and Multiple Regression 

14.1 Testing the Significance of the Least-Squares Regression Model

14.2 Confidence and Prediction Intervals

14.3 Introduction to Multiple Regression

14.4 Interaction and Dummy Variables

14.5 Polynomial Regression

14.6 Building a Regression Model

14.1A Using Randomization Techniques on the Slope of the Least-Squares Regression Line (online) 

Chapter 14 Review

Chapter Test

Making an Informed Decision: Buying a Home

Case Study: Housing Boom

15. Nonparametric Statistics 

15.1 An Overview of Nonparametric Statistics

15.2 Runs Test for Randomness

15.3 Inference about Measures of Central Tendency

15.4 Inference about the Difference between Two Medians: Dependent Samples

15.5 Inference about the Difference between Two Medians: Independent Samples

15.6 Spearman’s Rank-Correlation Test

15.7 Kruskal—Wallis Test

Chapter 15 Review

Chapter Test

Making an Informed Decision: Where Should I Live?

Case Study: Evaluating Alabama’s 1891 House Bill 504

Photo Credits 

Appendix A Tables 

Appendix B Lines (online) 



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