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Summary

For courses in Introductory Statistics.

This ISBN is for the 24-month MyLab access card. Pearson eText is included.

An approach that helps you put statistical concepts together—from the author's classroom

Mike Sullivan draws on his passion for both statistics and teaching to help students grasp that statistics is connected, not only in concepts, but to the world at large. Used first with Sullivan’s own students, Fundamentals of Statistics (the brief version of Sullivan’s Statistics: Informed Decisions Using Data) pulls ideas and strategies from his classroom into a wealth of new and updated exercises, examples, and MyLab^® problems, new videos, and much more.

By using the latest statistical software, students can focus on building true understanding rather than memorizing formulas. All resources, including the Student Activity Workbook and Author in the Classroom videos, were created by Mike for his classroom and are available to help all students succeed and stay engaged.

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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, which include a Developmental Math series, and a Precalculus series, which he writes with his father Michael Sullivan.

Mike has 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 that they will be better decision makers and have stronger critical-thinking skills. When not in the classroom or writing, Michael enjoys spending time with his wife and three children, Michael, Kevin, and Marissa, and playing golf.

Preface to the Instructor

Resources for Success

Applications Index

I. GETTING THE INFORMATION YOU NEED

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?

II. DESCRIPTIVE STATISTICS

2. Summarizing Data in Tables and Graphs

2.1 Organizing Qualitative Data

2.2 Organizing Quantitative Data

2.3 Graphical Misrepresentations of Data

Chapter 2 Review

Chapter Test

Making an Informed Decision: Tables or Graphs?

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?

4. Describing the Relation between Two Variables

4.1 Scatter Diagrams and Correlation

4.2 Least-Squares Regression

4.3 The Coefficient of Determination

4.4 Contingency Tables and Association

Chapter 4 Review

Chapter Test

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

III. PROBABILITY AND PROBABILITY DISTRIBUTIONS

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?

Chapter 5 Review

Chapter Test

Making an Informed Decision: The Effects of Drinking and Driving

6. Discrete Probability Distributions

6.1 Discrete Random Variables

6.2 The Binomial Probability Distribution

Chapter 6 Review

Chapter Test

Making an Informed Decision: Should We Convict?

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

IV. INFERENCE: FROM SAMPLES TO POPULATION

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 . . . ?

9. Estimating the Value of a Parameter

9.1 Estimating a Population Proportion

9.2 Estimating a Population Mean

9.3 Putting It Together: Which Method Do I Use?

9.4 Estimating a Population Standard Deviation (eText)

9.5 Estimating with Bootstrapping (eText)

Chapter 9 Review

Chapter Test

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

10. Hypothesis Tests Regarding a Parameter

10.1 The Language of Hypothesis Testing

10.2 Hypothesis Tests for a Population Proportion

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

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

10.3 Hypothesis Tests for a Population Mean

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

10.4 Putting It Together: Which Method Do I Use?

10.5 Hypothesis Tests for a Population Standard Deviation (eText)

Chapter 10 Review

Chapter Test

Making an Informed Decision: Selecting a Mutual Fund

11. Inference on Two Population Parameters

11.1 Inference about Two Population Proportions

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

11.2 Inference about Two Means: Dependent Samples

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

11.3 Inference about Two Means: Independent Samples

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

11.4 Putting It Together: Which Method Do I Use?

11.5 Inference about Two Population Standard Deviations (eText)

Chapter 11 Review

Chapter Test

Making an Informed Decision: Which Car Should I Buy?

12. Additional Inferential Methods

12.1 Goodness-of-Fit Test

12.2 Tests for Independence and the Homogeneity of Proportions

12.3 Testing the Significance of the Least-Squares Regression Model

12.3A Using Randomization Techniques on the Slope of the Least-Squares Regression Line (eText)

12.4 Confidence and Prediction Intervals

Chapter 12 Review

Chapter Test

Making an Informed Decision: Benefits of College

Photo Credits

Appendix A Tables

Appendix B (eText) :

B.1 Lines

B.2 Inference about Two Population Proportions: Dependent Samples

B.3 Comparing Three or More Means (One-Way Analysis of Variance)

Answers

Subject Index

Tables and Formulas for Sullivan, Fundamentals of Statistics, 6e

Supplemental Materials

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