Mike Sullivan, III has training in mathematics, statistics, and economics, and brings a varied teaching background that includes 15 years of instruction in both high school and college-level. 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 series in both Developmental Mathematics and Precalculus (written with his father, Michael Sullivan). Mike has built this new statistics book in the classroom using feedback from his students. He is well aware of the challenges faced by students taking an introductory statistics course. Mike’s 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 three children, Michael, Kevin, and Marissa, and playing golf.

George Woodbury earned a bachelor’s degree in Mathematics from the University of California–Santa Barbara and a master’s degree in Mathematics from California State University–Northridge. He currently teaches at College of the Sequoias in Visalia, CA, just outside of Fresno. George has been honored as an instructor by both his students and his colleagues. Aside from teaching and writing, George served as the department chair of the math/engineering division from 1999 through 2004. He has been a user of MyLab Math and Statistics since inception, continually coming up with creative ways to integrate his teaching methods with technology. He actively blogs on georgewoodbury.com about thoughts on math, statistics, teaching, and study skills. 

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 Review
Chapter Test
Making an Informed Decision: What College Should I Attend?
Case Study:  Chrysalises for Cash

II:  DESCRIPTIVE STATISTICS

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 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
3.5 The Five-Number Summary and Boxplots
Chapter 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
Chapter Review
Chapter Test
Making an Informed Decision: Relationships Among Variables on a World Scale
Case Study: Thomas Malthus, Population, and Subsistence

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 Simulation
5.7 Putting It Together: Which Method Do I Use?
Chapter Review
Chapter Test
Making an Informed Decision: What Are 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
Chapter 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 Review
Chapter Test
Making an Informed Decision: What Stock Do I Pick?
Case Study:  A Tale of Blood, Chemistry, and Health

IV:  INFERENCE – FROM SAMPLES TO POPULATION

8.  Sampling Distributions
8.1 Distribution of the Sample Mean
8.2 Distribution of the Sample Proportion
Chapter Review
Chapter Test
Making an Informed Decision: How Would You Break Down Your Day?
Case Study:  Sampling Distribution of the Median

9.  Estimating the Value of a Parameter Using Confidence Intervals
9.1 Estimating a Population Proportion
9.2 Estimating a Population Mean
9.3 Putting It Together: Which Procedure Do I Use?
9.4 Estimating with Bootstrapping
Chapter Review
Chapter Test
Making an Informed Decision: How Much Should I Spend for this House?
Case Study:  When Model Requirements Fail

10.  Hypothesis Tests Regarding a Parameter
10.1 The Language of Hypothesis Testing
10.2A Hypothesis Tests on a Population Proportion with Simulation
10.2B Hypothesis Tests on a Population Proportion Using the Normal Model
10.3A Using Simulation/Bootstrapping in Hypothesis Tests for a Population Mean
10.3B Hypothesis Tests for a Population Mean
10.4 Putting It Together: Which Procedure Do I Use?
Chapter Review
Chapter Test
Making an Informed Decision: Selecting a Mutual Fund  
Case Study:  How Old Is Stonehenge?

11.  Inference on Two Samples
11.1A Using Randomization Techniques to Compare Two Proportions
11.1 Inference about Two Population Proportions: Independent Samples
11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means
11.2 Inference about Two Population Means: Dependent Samples
11.3A Using Randomization Techniques to Compare Two Independent Means
11.3 Inference about Two Population Means: Independent Samples
11.4 Putting It Together: Which Procedure Do I Use?
Chapter Review
Chapter Test
Making an Informed Decision: Which Car Should I Buy?
Case Study: Control in the Design of 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 Review
Chapter Test
Making an Informed Decision: What Are the 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
Chapter Review
Chapter Test
Making an Informed Decision: Where Should I Invest?
Case Study: Hat Size and Intelligence

14.  Inference of the Least-Squares Regression Model
14.1A Using Randomization Techniques on the Slope of the Least-Squares Regression Line
14.1 Testing the Significance of the Least-Squares Regression Model
14.2 Confidence and Prediction Intervals
Chapter Review
Chapter Test
Making an Informed Decision: Buying a Home
Case Study: Housing Boom

Appendix A:  Tables

Appendix B:  Lines

Appendix C:  Additional Topics

C.1 The Normal Approximation to the Binomial Probability Distribution

C.2 Estimating a Population Standard Deviation

C.3 Hypothesis Tests for a Population Standard Deviation

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