About our authors Michael Sullivan, III has training in mathematics, statistics and economics, with a varied teaching background that includes 27 years of instruction in both high school- and college-level mathematics. He is currently a full-time professor of mathematics at Joliet Junior College. Michael has numerous textbooks in publication, including an Introductory Statistics series and a Precalculus series which he writes with his father, Michael Sullivan.Michael believes that his experiences writing texts for college-level math and statistics courses give him a unique perspective on where students are headed once they leave the developmental mathematics tract. This experience is reflected in the philosophy and presentation of his developmental text series. When not in the classroom or writing, Michael enjoys spending time with his 3 children, Michael, Kevin and Marissa, and playing golf. Now that his 2 sons are getting older, he has the opportunity to do both at the same time!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 MyLab Statistics since inception, continually coming up with creative ways to integrate his teaching methods with technology. He actively blogs his thoughts on math, statistics, teaching and study skills.

• I: GETTING THE INFORMATION YOU NEED Data Collection 1.1 Introduction to the Practice of Statistics1.2 Observational Studies versus Designed Experiments1.3 Simple Random Sampling1.4 Other Effective Sampling Methods1.5 Bias in Sampling1.6 The Design of Experiments Chapter ReviewChapter TestMaking an Informed Decision: What College Should I Attend? Case Study: Chrysalises for CashII: DESCRIPTIVE STATISTICS Organizing and Summarizing Data 2.1 Organizing Qualitative Data2.2 Organizing Quantitative Data: The Popular Displays2.3 Additional Displays of Quantitative Data2.4 Graphical Misrepresentations of Data Chapter ReviewChapter TestMaking an Informed Decision: Tables or Graphs? Case Study: The Day the Sky RoaredNumerically Summarizing Data 3.1 Measures of Central Tendency3.2 Measures of Dispersion3.3 Measures of Central Tendency and Dispersion from Grouped Data3.4 Measures of Position3.5 The Five-Number Summary and Boxplots Chapter ReviewChapter TestMaking an Informed Decision: What Car Should I Buy? Case Study: Who Was “A Mourner”? Describing the Relation Between Two Variables 4.1 Scatter Diagrams and Correlation4.2 Least-Squares Regression4.3 Diagnostics on the Least-Squares Regression Line4.4 Contingency Tables and Association Chapter ReviewChapter TestMaking an Informed Decision: Relationships Among Variables on a World ScaleCase Study: Thomas Malthus, Population, and SubsistenceIII: PROBABILITY AND PROBABILITY DISTRIBUTIONS Probability 5.1 Probability Rules5.2 The Addition Rule and Complements5.3 Independence and the Multiplication Rule5.4 Conditional Probability and the General Multiplication Rule5.5 Counting Techniques5.6 Simulation5.7 Putting It Together: Which Method Do I Use? Chapter ReviewChapter TestMaking an Informed Decision: What Are the Effects of Drinking and Driving?Case Study: The Case of the Body in the BagDiscrete Probability Distributions 6.1 Discrete Random Variables6.2 The Binomial Probability Distribution6.3 The Poisson Probability Distribution Chapter ReviewChapter TestMaking an Informed Decision: Should We Convict?Case Study: The Voyage of the St. AndrewThe Normal Probability Distribution 7.1 Properties of the Normal Distribution7.2 Applications of the Normal Distribution7.3 Assessing Normality7.4 The Normal Approximation to the Binomial Probability Distribution Chapter ReviewChapter TestMaking an Informed Decision: What Stock Do I Pick? Case Study: A Tale of Blood, Chemistry, and HealthIV: INFERENCE – FROM SAMPLES TO POPULATION Sampling Distributions 8.1 Distribution of the Sample Mean8.2 Distribution of the Sample Proportion Chapter ReviewChapter TestMaking an Informed Decision: How Would You Break Down Your Day? Case Study: Sampling Distribution of the MedianEstimating the Value of a Parameter Using Confidence Intervals 9.1 Estimating a Population Proportion9.2 Estimating a Population Mean 9.3 Putting It Together: Which Procedure Do I Use?9.4 Estimating with Bootstrapping Chapter ReviewChapter TestMaking an Informed Decision: How Much Should I Spend for this House? Case Study: When Model Requirements FailHypothesis Tests Regarding a Parameter 10.1 The Language of Hypothesis Testing10.2A Hypothesis Tests on a Population Proportion with Simulation10.2B Hypothesis Tests on a Population Proportion Using the Normal Model10.3A Using Simulation/Bootstrapping in Hypothesis Tests for a Population Mean10.3B Hypothesis Tests for a Population Mean10.4 Putting It Together: Which Procedure Do I Use? Chapter ReviewChapter TestMaking an Informed Decision: Selecting a Mutual Fund Case Study: How Old Is Stonehenge?Inference on Two Samples 11.1A Using Randomization Techniques to Compare Two Proportions11.1 Inference about Two Population Proportions: Independent Samples11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means11.2 Inference about Two Population Means: Dependent Samples11.3A Using Randomization Techniques to Compare Two Independent Means11.3 Inference about Two Population Means: Independent Samples11.4 Putting It Together: Which Procedure Do I Use? Chapter ReviewChapter TestMaking an Informed Decision: Which Car Should I Buy?Case Study: Control in the Design of ExperimentInference on Categorical Data 12.1 Goodness-of-Fit Test12.2 Tests for Independence and the Homogeneity of Proportions12.3 Inference about Two Population Proportions: Dependent Samples Chapter ReviewChapter TestMaking an Informed Decision: What Are the Benefits of College?Case Study: Feeling Lucky? Well, Are You?Comparing Three or More Means 13.1 Comparing Three or More Means: One-Way Analysis of Variance13.2 Post-Hoc Tests on One-Way Analysis of Variance Chapter ReviewChapter TestMaking an Informed Decision: Where Should I Invest?Case Study: Hat Size and IntelligenceInference of the Least-Squares Regression Model 14.1A Using Randomization Techniques on the Slope of the Least-Squares Regression Line14.1 Testing the Significance of the Least-Squares Regression Model14.2 Confidence and Prediction Intervals Chapter ReviewChapter TestMaking an Informed Decision: Buying a Home Case Study: Housing BoomAPPENDICES A. TablesB. LinesC. Additional Topics C.1 The Normal Approximation to the Binomial Probability DistributionC.2 Estimating a Population Standard DeviationC.3 Hypothesis Tests for a Population Standard Deviation

About our authors Michael Sullivan, III has training in mathematics, statistics and economics, with a varied teaching background that includes 27 years of instruction in both high school- and college-level mathematics. He is currently a full-time professor of mathematics at Joliet Junior College. Michael has numerous textbooks in publication, including an Introductory Statistics series and a Precalculus series which he writes with his father, Michael Sullivan.Michael believes that his experiences writing texts for college-level math and statistics courses give him a unique perspective on where students are headed once they leave the developmental mathematics tract. This experience is reflected in the philosophy and presentation of his developmental text series. When not in the classroom or writing, Michael enjoys spending time with his 3 children, Michael, Kevin and Marissa, and playing golf. Now that his 2 sons are getting older, he has the opportunity to do both at the same time!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 MyLab Statistics since inception, continually coming up with creative ways to integrate his teaching methods with technology. He actively blogs his thoughts on math, statistics, teaching and study skills.

• I: GETTING THE INFORMATION YOU NEED Data Collection 1.1 Introduction to the Practice of Statistics1.2 Observational Studies versus Designed Experiments1.3 Simple Random Sampling1.4 Other Effective Sampling Methods1.5 Bias in Sampling1.6 The Design of Experiments Chapter ReviewChapter TestMaking an Informed Decision: What College Should I Attend? Case Study: Chrysalises for CashII: DESCRIPTIVE STATISTICS Organizing and Summarizing Data 2.1 Organizing Qualitative Data2.2 Organizing Quantitative Data: The Popular Displays2.3 Additional Displays of Quantitative Data2.4 Graphical Misrepresentations of Data Chapter ReviewChapter TestMaking an Informed Decision: Tables or Graphs? Case Study: The Day the Sky RoaredNumerically Summarizing Data 3.1 Measures of Central Tendency3.2 Measures of Dispersion3.3 Measures of Central Tendency and Dispersion from Grouped Data3.4 Measures of Position3.5 The Five-Number Summary and Boxplots Chapter ReviewChapter TestMaking an Informed Decision: What Car Should I Buy? Case Study: Who Was “A Mourner”? Describing the Relation Between Two Variables 4.1 Scatter Diagrams and Correlation4.2 Least-Squares Regression4.3 Diagnostics on the Least-Squares Regression Line4.4 Contingency Tables and Association Chapter ReviewChapter TestMaking an Informed Decision: Relationships Among Variables on a World ScaleCase Study: Thomas Malthus, Population, and SubsistenceIII: PROBABILITY AND PROBABILITY DISTRIBUTIONS Probability 5.1 Probability Rules5.2 The Addition Rule and Complements5.3 Independence and the Multiplication Rule5.4 Conditional Probability and the General Multiplication Rule5.5 Counting Techniques5.6 Simulation5.7 Putting It Together: Which Method Do I Use? Chapter ReviewChapter TestMaking an Informed Decision: What Are the Effects of Drinking and Driving?Case Study: The Case of the Body in the BagDiscrete Probability Distributions 6.1 Discrete Random Variables6.2 The Binomial Probability Distribution6.3 The Poisson Probability Distribution Chapter ReviewChapter TestMaking an Informed Decision: Should We Convict?Case Study: The Voyage of the St. AndrewThe Normal Probability Distribution 7.1 Properties of the Normal Distribution7.2 Applications of the Normal Distribution7.3 Assessing Normality7.4 The Normal Approximation to the Binomial Probability Distribution Chapter ReviewChapter TestMaking an Informed Decision: What Stock Do I Pick? Case Study: A Tale of Blood, Chemistry, and HealthIV: INFERENCE – FROM SAMPLES TO POPULATION Sampling Distributions 8.1 Distribution of the Sample Mean8.2 Distribution of the Sample Proportion Chapter ReviewChapter TestMaking an Informed Decision: How Would You Break Down Your Day? Case Study: Sampling Distribution of the MedianEstimating the Value of a Parameter Using Confidence Intervals 9.1 Estimating a Population Proportion9.2 Estimating a Population Mean 9.3 Putting It Together: Which Procedure Do I Use?9.4 Estimating with Bootstrapping Chapter ReviewChapter TestMaking an Informed Decision: How Much Should I Spend for this House? Case Study: When Model Requirements FailHypothesis Tests Regarding a Parameter 10.1 The Language of Hypothesis Testing10.2A Hypothesis Tests on a Population Proportion with Simulation10.2B Hypothesis Tests on a Population Proportion Using the Normal Model10.3A Using Simulation/Bootstrapping in Hypothesis Tests for a Population Mean10.3B Hypothesis Tests for a Population Mean10.4 Putting It Together: Which Procedure Do I Use? Chapter ReviewChapter TestMaking an Informed Decision: Selecting a Mutual Fund Case Study: How Old Is Stonehenge?Inference on Two Samples 11.1A Using Randomization Techniques to Compare Two Proportions11.1 Inference about Two Population Proportions: Independent Samples11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means11.2 Inference about Two Population Means: Dependent Samples11.3A Using Randomization Techniques to Compare Two Independent Means11.3 Inference about Two Population Means: Independent Samples11.4 Putting It Together: Which Procedure Do I Use? Chapter ReviewChapter TestMaking an Informed Decision: Which Car Should I Buy?Case Study: Control in the Design of ExperimentInference on Categorical Data 12.1 Goodness-of-Fit Test12.2 Tests for Independence and the Homogeneity of Proportions12.3 Inference about Two Population Proportions: Dependent Samples Chapter ReviewChapter TestMaking an Informed Decision: What Are the Benefits of College?Case Study: Feeling Lucky? Well, Are You?Comparing Three or More Means 13.1 Comparing Three or More Means: One-Way Analysis of Variance13.2 Post-Hoc Tests on One-Way Analysis of Variance Chapter ReviewChapter TestMaking an Informed Decision: Where Should I Invest?Case Study: Hat Size and IntelligenceInference of the Least-Squares Regression Model 14.1A Using Randomization Techniques on the Slope of the Least-Squares Regression Line14.1 Testing the Significance of the Least-Squares Regression Model14.2 Confidence and Prediction Intervals Chapter ReviewChapter TestMaking an Informed Decision: Buying a Home Case Study: Housing BoomAPPENDICES A. TablesB. LinesC. Additional Topics C.1 The Normal Approximation to the Binomial Probability DistributionC.2 Estimating a Population Standard DeviationC.3 Hypothesis Tests for a Population Standard Deviation