Statistics: Informed Decisions Using Data plus MyStatLab with Pearson eText, Global Edition

KEY BENEFIT Statistics: Informed Decisions Using Data , Fifth Edition , gives students the tools to see a bigger picture and make informed choices. As a current introductory statistics instructor, Mike Sullivan III presents a text that is filled with ideas and strategies that work in today's classroom. His practical emphasis resonates with students and helps them see that statistics is connected, not only to individual concepts, but also with the world at large. KEY TOPICS GETTING THE INFORMATION YOU NEED; Data Collection; DESCRIPTIVE STATISTICS; Organizing and Summarizing Data; Numerically Summarizing Data; Describing the Relation between Two Variables; PROBABILITY AND PROBABILITY DISTRIBUTIONS; Probability; Discrete Probability Distributions; The Normal Probability Distribution; INFERENCE: FROM SAMPLES TO POPULATION; Sampling Distributions; Estimating the Value of a Parameter; Hypothesis Tests Regarding a Parameter; Inferences on Two Samples; Inference on Categorical Data; Comparing Three or More Means; Inference on the Least-Squares Regression Model and Multiple Regression; Nonparametric Statistics MARKET For anyone interested in introductory statistics. Cover......Page 1 Title Page......Page 4 Copyright Page......Page 5 Contents......Page 8 Preface to the Instructor......Page 14 Resources for Success......Page 19 Applications Index......Page 24 Part 1: Getting the Information You Need......Page 30 Chapter 1: Data Collection......Page 31 1.1 Introduction to the Practice of Statistics......Page 32 1.2 Observational Studies versus Designed Experiments......Page 43 1.3 Simple Random Sampling......Page 50 1.4 Other Effective Sampling Methods......Page 57 1.5 Bias in Sampling......Page 65 1.6 The Design of Experiments......Page 71 Chapter 1 Review......Page 83 Chapter Test......Page 86 Case Study: Chrysalises for Cash......Page 88 Part 2: Descriptive Statistics......Page 90 Chapter 2: Organizing and Summarizing Data......Page 91 2.1 Organizing Qualitative Data......Page 92 2.2 Organizing Quantitative Data: The Popular Displays......Page 105 2.3 Additional Displays of Quantitative Data......Page 123 2.4 Graphical Misrepresentations of Data......Page 130 Chapter 2 Review......Page 138 Chapter Test......Page 142 Case Study: The Day the Sky Roared......Page 144 Chapter 3: Numerically Summarizing Data......Page 146 3.1 Measures of Central Tendency......Page 147 3.2 Measures of Dispersion......Page 160 3.3 Measures of Central Tendency and Dispersion from Grouped Data......Page 176 3.4 Measures of Position and Outliers......Page 183 3.5 The Five-Number Summary and Boxplots......Page 193 Chapter 3 Review......Page 201 Chapter Test......Page 205 Making an Informed Decision: What Car Should I Buy?......Page 207 Case Study: Who Was “A Mourner”?......Page 208 Chapter 4: Describing the Relation between Two Variables......Page 209 4.1 Scatter Diagrams and Correlation......Page 210 4.2 Least-Squares Regression......Page 226 4.3 Diagnostics on the Least-Squares Regression Line......Page 240 4.4 Contingency Tables and Association......Page 254 Chapter 4 Review......Page 265 Chapter Test......Page 271 Making an Informed Decision: Relationships among Variables on a World Scale......Page 272 Case Study: Thomas Malthus, Population, and Subsistence......Page 273 4.5 Nonlinear Regression: Transformations (online)......Page 274 Part 3: Probability and Probability Distributions......Page 284 Chapter 5: Probability......Page 285 5.1 Probability Rules......Page 286 5.2 The Addition Rule and Complements......Page 301 5.3 Independence and the Multiplication Rule......Page 312 5.4 Conditional Probability and the General Multiplication Rule......Page 318 5.5 Counting Techniques......Page 328 5.6 Putting It Together: Which Method Do I Use?......Page 341 Chapter 5 Review......Page 346 Chapter Test......Page 350 Making an Informed Decision: The Effects of Drinking and Driving......Page 351 Case Study: The Case of the Body in the Bag......Page 352 5.7 Bayes’s Rule (online)......Page 354 Chapter 6: Discrete Probability Distributions......Page 364 6.1 Discrete Random Variables......Page 365 6.2 The Binomial Probability Distribution......Page 376 6.3 The Poisson Probability Distribution......Page 392 Chapter 6 Review......Page 398 Chapter Test......Page 401 Making an Informed Decision: Should We Convict?......Page 402 Case Study: The Voyage of the St. Andrew......Page 403 6.4 The Hypergeometric Probability Distribution (online)......Page 404 Chapter 7: The Normal Probability Distribution......Page 412 7.1 Properties of the Normal Distribution......Page 413 7.2 Applications of the Normal Distribution......Page 423 7.3 Assessing Normality......Page 434 7.4 The Normal Approximation to the Binomial Probability Distribution......Page 439 Chapter 7 Review......Page 444 Chapter Test......Page 447 Case Study: A Tale of Blood Chemistry......Page 448 Part 4: Inference: From Samples to Population......Page 450 Chapter 8: Sampling Distributions......Page 451 8.1 Distribution of the Sample Mean......Page 452 8.2 Distribution of the Sample Proportion......Page 465 Chapter 8 Review......Page 472 Chapter Test......Page 474 Case Study: Sampling Distribution of the Median......Page 475 Chapter 9: Estimating the Value of a Parameter......Page 477 9.1 Estimating a Population Proportion......Page 478 9.2 Estimating a Population Mean......Page 492 9.3 Estimating a Population Standard Deviation......Page 506 9.4 Putting It Together: Which Procedure Do I Use?......Page 512 9.5 Estimating with Bootstrapping......Page 515 Chapter 9 Review......Page 522 Chapter Test......Page 526 Making an Informed Decision: How Much Should I Spend for this House?......Page 527 Case Study: Fire-Safe Cigarettes......Page 528 Chapter 10: Hypothesis Tests Regarding a Parameter......Page 529 10.1 The Language of Hypothesis Testing......Page 530 10.2 Hypothesis Tests for a Population Proportion......Page 537 10.3 Hypothesis Tests for a Population Mean......Page 551 10.4 Hypothesis Tests for a Population Standard Deviation......Page 561 10.5 Putting It Together: Which Method Do I Use?......Page 567 10.6 The Probability of a Type II Error and the Power of the Test......Page 569 Chapter 10 Review......Page 574 Chapter Test......Page 578 Case Study: How Old Is Stonehenge?......Page 579 Chapter 11: Inferences on Two Samples......Page 581 11.1 Inference about Two Population Proportions......Page 582 11.2 Inference about Two Means: Dependent Samples......Page 593 11.3 Inference about Two Means: Independent Samples......Page 604 11.4 Inference about Two Population Standard Deviations......Page 615 11.5 Putting It Together: Which Method Do I Use?......Page 624 Chapter 11 Review......Page 629 Chapter Test......Page 632 Case Study: Control in the Design of an Experiment......Page 634 Chapter 12: Inference on Categorical Data......Page 636 12.1 Goodness-of-Fit Test......Page 637 12.2 Tests for Independence and the Homogeneity of Proportions......Page 649 12.3 Inference about Two Population Proportions: Dependent Samples......Page 664 Chapter 12 Review......Page 668 Chapter Test......Page 671 Case Study: Feeling Lucky? Well, Are You?......Page 672 Chapter 13: Comparing Three or More Means......Page 674 13.1 Comparing Three or More Means (One-Way Analysis of Variance)......Page 675 13.2 Post Hoc Tests on One-Way Analysis of Variance......Page 692 13.3 The Randomized Complete Block Design......Page 700 13.4 Two-Way Analysis of Variance......Page 709 Chapter 13 Review......Page 723 Chapter Test......Page 726 Making an Informed Decision: Where Should I Invest?......Page 728 Case Study: Hat Size and Intelligence......Page 729 Chapter 14: Inference on the Least-Squares Regression Model and Multiple Regression......Page 730 14.1 Testing the Significance of the Least-Squares Regression Model......Page 731 14.2 Confidence and Prediction Intervals......Page 746 14.3 Introduction to Multiple Regression......Page 751 14.4 Interaction and Dummy Variables......Page 766 14.5 Polynomial Regression......Page 774 14.6 Building a Regression Model......Page 779 Chapter 14 Review......Page 792 Chapter Test......Page 796 Case Study: Housing Boom......Page 798 Chapter 15: Nonparametric Statistics......Page 800 15.1 An Overview of Nonparametric Statistics......Page 801 15.2 Runs Test for Randomness......Page 802 15.3 Inference about Measures of Central Tendency......Page 809 15.4 Inference about the Difference between Two Medians: Dependent Samples......Page 816 15.5 Inference about the Difference between Two Medians: Independent Samples......Page 826 15.6 Spearman’s Rank-Correlation Test......Page 834 15.7 Kruskal–Wallis Test......Page 840 Chapter 15 Review......Page 847 Chapter Test......Page 850 Case Study: Evaluating Alabama’s 1891 House Bill 504......Page 851 Photo Credits......Page 853 Appendix A: Tables......Page 854 Appendix B: Lines......Page 890 Answers......Page 897 C......Page 991 D......Page 992 E......Page 993 H......Page 994 L......Page 995 M......Page 996 P......Page 997 S......Page 999 T......Page 1001 Z......Page 1002 Note: This Edition Features The Same Content As The Traditional Text In A Convenient, Three-hole-punched, Loose-leaf Version. Books A La Carte Also Offer A Great Value-this Format Costs Significantly Less Than A New Textbook. Before Purchasing, 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. For Courses In Introductory Statistics. Putting It Together Statistics: Informed Decisions Using Data, Fifth Edition, Gives Students The Tools To See A Bigger Picture And Make Informed Choices. As A Current Introductory Statistics Instructor, Mike Sullivan Iii Presents A Text That Is Filled With Ideas And Strategies That Work In Today's Classroom. His Practical Emphasis Resonates With Students And Helps Them See That Statistics Is Connected, Not Only To Individual Concepts, But Also With The World At Large. Mystatlab For This Edition Takes Advantage Of Data Analytics To Add Additional Exercises To High Usage Chapters. New Technology Support Videos Show The Author Demonstrating Easy-to-follow Steps To Solve A Problem In Several Different Formats-by Hand, Ti-84, And Statcrunch(tm). Also Available With Mystatlab Mystatlab From Pearson Is The World's Leading Online Resource For Teaching And Learning Statistics; It Integrates Interactive Homework, Assessment, And Media In A Flexible, Easy-to-use Format. Mystatlab Is A Course Management System That Helps Individual Students Succeed. It Provides Engaging Experiences That Personalize, Stimulate, And Measure Learning For Each Student. Tools Are Embedded To Make It Easy To Integrate Statistical Software Into The Course. And, It Comes From An Experienced Partner With Educational Expertise And An Eye On The Future. For courses in introductory statistics. Statistics: Informed Decisions Using Dat, gives students the tools to see a bigger picture and make informed choices. As a current introductory statistics instructor, Mike Sullivan III presents a text that is filled with ideas and strategies that work in today's classroom. His practical emphasis resonates with students and helps them see that statistics is connected, not only to individual concepts, but also with the world at large. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. 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