Statistics: Informed Decisions Using Data (4th Edition)

Michael Sullivan’s Statistics: Informed Decisions Using Data, Fourth Edition, connects statistical concepts to students’ lives, helping them to think critically, become informed consumers, and make better decisions. Throughout the book, Putting It Together features help students visualize the relationships among various statistical concepts. This feature extends to the exercises, providing a consistent vision of the bigger picture of statistics. This book follows the Guidelines for Assessment and Instruction in Statistics Education (GAISE), as recommended by the American Statistical Association, and emphasizes statistical literacy, use of real data and technology, conceptual understanding, and active learning. | Part I: Getting the Information You Need Chapter 1 Data Collection 1.1 Introduction to the Practice of Statistics 1.2 Observational Studies and 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 Part II: Descriptive Statistics Chapter 2 Creating Tables and Drawing Pictures of Data 2.1 Organizing Qualitative Data 2.2 Organizing Quantitative Data: The Population 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 Chapter 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 Review Chapter Test Making an Informed Decision: What Car Should I Buy? Case Study: Who Was “A Mourner”? Chapter 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 (on CD) Chapter Review Chapter Test Making an Informed Decision: Relationships of Variables on a World Scale Case Study: Thomas Malthus, Population, and Subsistence Part III: Probability and Probability Distributions Chapter 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 Putting It Together: Probability 5.7 Bayes’s Rule (on CD) Chapter Review Chapter Test Making an Informed Decision: The Effects of Drinking and Driving Case Study: The Case of the Body in the Bag Chapter 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 (on CD) Chapter Review Chapter Test Making an Informed Decision: Should We Convict? Case Study: The Voyage of the St. Andrew Chapter 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: Stock Picking Case Study: A Tale of Blood, Chemistry, and Health Part IV: Inferences – From Samples to Population Chapter 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 Much Time Do You Spend in a Day? Case Study: Sampling Distribution of the Median Chapter 9 Estimating the Value of a Parameter Using Confidence Intervals 9.1 Estimating a Population Proportion 9.2 Estimating a Population Mean 9.3 Confidence Intervals for a Population Standard Deviation 9.4 Putting It Together: Which Procedure Do I Use? 9.5 Estimating with Bootstrapping (NEW) Chapter Review Chapter Test Making an Informed Decision: How Much Should I Spend for this House? Case Study: Fire-Safe Cigarettes Chapter 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 Chapter Review Chapter Test Making an Informed Decision: Selecting a Mutual Fund Case Study: How Old Is Stonehenge? Chapter 11 Inference on Two Samples 11.1 Inference about Two Proportions 11.2 Inference about Two Means: Dependent Samples 11.3 Inference about Two Means: Independent Samples 11.4 Inference about Two Standard Deviations 11.5 Putting It Together: Which Method Do I Use? Chapter Review Chapter Test Making an Informed Decision: Which Car Should I Buy? Case Study: Control in the Design of Experiment Chapter 12 Inference on Categorical Data 12.1 Goodness of Fit Test 12.2 Tests for Independence and the Homogeneity of Proportions Chapter Review Chapter Test Making an Informed Decision: Benefits of College Case Study: Feeling Lucky? Well, Are You? Chapter 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 Review Chapter Test Making an Informed Decision: Where Should I Invest? Part II Case Study: Hat Size and Intelligence Chapter 14 Inference of 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 Multiple Regression Chapter Review Chapter Test Making an Informed Decision: Buying a Home Case Study: Housing Boom Chapter 15 Nonparametric Statistics 15.1 An Overview of Nonparametric Statistics 15.2 Runs Test for Randomness 15.3 Inferences about Measures of Central Tendency 15.4 Inferences about the Difference between Two Medians: Dependent Samples 15.5 Inferences about the Difference between Two Medians: Independent Samples 15.6 Spearman’s Rank-Correlation Test 15.7 Kruskal-Wallis Test Chapter Review Chapter Test Making an Informed Decision: Where Should I Live? Case Study: Evaluating Alabama’s 1891 House Bill 504 Appendix A Tables Appendix B Lines (on CD) Answers Index Alert: Before You Purchase, Check With Your Instructor Or Review Your Course Syllabus To Ensure That You Select The Correct Isbn. Several Versions Of Pearson's Mylab & Mastering Products Exist For Each Title, Including Customized Versions For Individual Schools, And Registrations Are Not Transferable. In Addition, You May Need A Courseid, Provided By Your Instructor, To Register For And Use Pearson's Mylab & Mastering Products. Packages Access Codes For Pearson's Mylab & Mastering Products May Not Be Included When Purchasing Or Renting From Companies Other Than Pearson; Check With The Seller Before Completing Your Purchase. Used Or Rental Books If You Rent Or Purchase A Used Book With An Access Code, The Access Code May Have Been Redeemed Previously And You May Have To Purchase A New Access Code. Access Codes Access Codes That Are Purchased From Sellers Other Than Pearson Carry A Higher Risk Of Being Either The Wrong Isbn Or A Previously Redeemed Code. Check With The Seller Prior To Purchase. -- Michael Sullivan's Statistics: Informed Decisions Using Data, Fourth Edition, Connects Statistical Concepts To Students' Lives, Helping Them To Think Critically, Become Informed Consumers, And Make Better Decisions. Throughout The Book, Putting It Together Features Help Students Visualize The Relationships Among Various Statistical Concepts. This Feature Extends To The Exercises, Providing A Consistent Vision Of The Bigger Picture Of Statistics. This Book Follows The Guidelines For Assessment And Instruction In Statistics Education (gaise), As Recommended By The American Statistical Association, And Emphasizes Statistical Literacy, Use Of Real Data And Technology, Conceptual Understanding, And Active Learning.