Essential statistics: exploring the world through data [Second edition]
9780134134406, 1292161221, 9781292161228, 0134134400, 9781292161280, 1292161280
We live in a data-driven world, and the goal of this text is to teach students how to access and analyze these data crit
Table of contents : Cover......Page 1 Title Page......Page 4 Copyright Page......Page 5 Dedication......Page 6 About the Authors......Page 7 Contents......Page 8 Preface......Page 12 Acknowledgments......Page 16 Index of Applications......Page 22 Chapter 1: Introduction to Data......Page 27 Case Study: Deadly Cell Phones?......Page 28 1.1. What Are Data?......Page 29 1.2. Classifying and Storing Data......Page 31 1.3. Organizing Categorical Data......Page 35 1.4. Collecting Data to Understand Causality......Page 40 Exploring Statistics: Collecting a Table of Different Kinds of Data......Page 50 Chapter 2: Picturing Variation with Graphs......Page 61 Case Study: Student-to-Teacher Ratio at Colleges......Page 62 2.1. Visualizing Variation in Numerical Data......Page 63 2.2. Summarizing Important Features of a Numerical Distribution......Page 68 2.3. Visualizing Variation in Categorical Variables......Page 76 2.4. Summarizing Categorical Distributions......Page 79 2.5. Interpreting Graphs......Page 82 Exploring Statistics: Personal Distance......Page 86 Chapter 3: Numerical Summaries of Center and Variation......Page 107 Case Study: Living in a Risky World......Page 108 3.1. Summaries for Symmetric Distributions......Page 109 3.2. What’s Unusual? The Empirical Rule and z-Scores......Page 119 3.3. Summaries for Skewed Distributions......Page 124 3.4. Comparing Measures of Center......Page 131 3.5. Using Boxplots for Displaying Summaries......Page 136 Exploring Statistics: Does Reaction Distance Depend on Gender?......Page 143 Chapter 4: Regression Analysis: Exploring Associations between Variables......Page 167 Case Study: Catching Meter Thieves......Page 168 4.1. Visualizing Variability with a Scatterplot......Page 169 4.2. Measuring Strength of Association with Correlation......Page 173 4.3. Modeling Linear Trends......Page 181 4.4. Evaluating the Linear Model......Page 194 Exploring Statistics: Guessing the Age of Famous People......Page 202 Chapter 5: Modeling Variation with Probability......Page 229 Case Study: SIDS or Murder?......Page 230 5.1. What Is Randomness?......Page 231 5.2. Finding Theoretical Probabilities......Page 234 5.3. Associations in Categorical Variables......Page 243 5.4. Finding Empirical Probabilities......Page 253 Exploring Statistics: Let’s Make a Deal: Stay or Switch?......Page 258 Chapter 6: Modeling Random Events: The Normal and Binomial Models......Page 273 Case Study: You Sometimes Get More Than You Pay For......Page 274 6.1. Probability Distributions Are Models of Random Experiments......Page 275 6.2. The Normal Model......Page 280 6.3. The Binomial Model (optional)......Page 293 Exploring Statistics: ESP with Coin Flipping......Page 308 Chapter 7: Survey Sampling and Inference......Page 325 Case Study: Spring Break Fever: Just What the Doctors Ordered?......Page 326 7.1. Learning about the World through Surveys......Page 327 7.2. Measuring the Quality of a Survey......Page 333 7.3. The Central Limit Theorem for Sample Proportions......Page 341 7.4. Estimating the Population Proportion with Confidence Intervals......Page 348 7.5. Comparing Two Population Proportions with Confidence......Page 355 Exploring Statistics: Simple Random Sampling Prevents Bias......Page 362 Chapter 8: Hypothesis Testing for Population Proportions......Page 379 Case Study: Dodging the Question......Page 380 8.1. The Essential Ingredients of Hypothesis Testing......Page 381 8.2. Hypothesis Testing in Four Steps......Page 388 8.3. Hypothesis Tests in Detail......Page 397 8.4. Comparing Proportions from Two Populations......Page 404 Exploring Statistics: Identifying Flavors of Gum through Smell......Page 412 Chapter 9: Inferring Population Means......Page 429 Case Study: Epilepsy Drugs and Children......Page 430 9.1. Sample Means of Random Samples......Page 431 9.2. The Central Limit Theorem for Sample Means......Page 435 9.3. Answering Questions about the Mean of a Population......Page 442 9.4. Hypothesis Testing for Means......Page 452 9.5. Comparing Two Population Means......Page 458 9.6. Overview of Analyzing Means......Page 473 Exploring Statistics: Pulse Rates......Page 477 Chapter 10: Analyzing Categorical Variables and Interpreting Research......Page 501 Case Study: Popping Better Popcorn......Page 502 10.1. The Basic Ingredients for Testing with Categorical Variables......Page 503 10.2. Chi-Square Tests for Associations between Categorical Variables......Page 510 10.3. Reading Research Papers......Page 519 Exploring Statistics: Skittles......Page 528 Appendix A: Tables......Page 544 Appendix B: Check Your Tech Answers......Page 552 Appendix C: Answers to Odd-Numbered Exercises......Page 554 Appendix D: Credits......Page 576 Index......Page 578 Back Cover......Page 586