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      Essential statistics : exploring the world through data

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      https://www.riss.kr/link?id=M14635118

      • 저자
      • 발행사항

        Boston : Pearson, [2017] ⓒ2017

      • 발행연도

        2017

      • 작성언어

        영어

      • 주제어
      • DDC

        519.5 판사항(23)

      • ISBN

        9781292161228
        1292161221

      • 자료형태

        일반단행본

      • 발행국(도시)

        미국

      • 서명/저자사항

        Essential statistics : exploring the world through data / Robert Gould, Colleen Ryan, Rebecca Wong

      • 판사항

        2nd edition, global edition

      • 형태사항

        582 pages : color illustrations ; 28 cm

      • 일반주기명

        Includes index

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        • 국립중앙도서관 국립중앙도서관 우편복사 서비스
        • 이화여자대학교 도서관 소장기관정보 Deep Link
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      목차 (Table of Contents)

      • CONTENTS
      • Preface = 11
      • Index of Applications = 21
      • Chapter 1. Introduction to Data = 26
      • Case Study-Deadly Cell Phones? = 27
      • CONTENTS
      • Preface = 11
      • Index of Applications = 21
      • Chapter 1. Introduction to Data = 26
      • Case Study-Deadly Cell Phones? = 27
      • 1.1 What Are Data? = 28
      • 1.2 Classifying and Storing Data = 30
      • 1.3 Organizing Categorical Data = 34
      • 1.4 Collecting Data to Understand Causality = 39
      • Exploring Statistics-Collecting a Table of Different Kinds of Data = 49
      • Chapter 2. Picturing Variation with Graphs = 60
      • Case Study-Student-to-Teacher Ratio at Colleges = 61
      • 2.1 Visualizing Variation in Numerical Data = 62
      • 2.2 Summarizing Important Features of a Numerical Distribution = 67
      • 2.3 Visualizing Variation in Categorical Variables = 75
      • 2.4 Summarizing Categorical Distributions = 78
      • 2.5 Interpreting Graphs = 81
      • Exploring Statistics-Personal Distance = 85
      • Chapter 3. Numerical Summaries of Center and Variation = 106
      • Case Study-Living in a Risky World = 107
      • 3.1 Summaries for Symmetric Distributions = 108
      • 3.2 What's Unusual? The Empirical Rule and z-Scores = 118
      • 3.3 Summaries for Skewed Distributions = 123
      • 3.4 Comparing Measures of Center = 130
      • 3.5 Using Boxplots for Displaying Summaries = 135
      • Exploring Statistics-Does Reaction Distance Depend on Gender? = 142
      • Chapter 4. Regression Analysis : Exploring Associations between Variables = 166
      • Case Study-Catching Meter Thieves = 167
      • 4.1 Visualizing Variability with a Scatterplot = 168
      • 4.2 Measuring Strength of Association with Correlation = 172
      • 4.3 Modeling Linear Trends = 180
      • 4.4 Evaluating the Linear Model = 193
      • Exploring Statistics-Guessing the Age of Famous People = 201
      • Chapter 5. Modeling Variation with Probability = 228
      • Case Study-SIDS or Murder? = 229
      • 5.1 What Is Randomness? = 230
      • 5.2 Finding Theoretical Probabilities = 233
      • 5.3 Associations in Categorical Variables = 242
      • 5.4 Finding Empirical Probabilities = 252
      • Exploring Statistics-Let's Make a Deal : Stay or Switch? = 257
      • Chapter 6. Modeling Random Events : The Normal and Binomial Models = 272
      • Case Study-You Sometimes Get More Than You Pay For = 273
      • 6.1 Probability Distributions Are Models of Random Experiments = 274
      • 6.2 The Normal Model = 279
      • 6.3 The Binomial Model (optional) = 292
      • Exploring Statistics-ESP with Coin Flipping = 307
      • Chapter 7. Survey Sampling and Inference = 324
      • Case Study-Spring Break Fever : Just What the Doctors Ordered? = 325
      • 7.1 Learning about the World through Surveys = 326
      • 7.2 Measuring the Quality of a Survey = 332
      • 7.3 The Central Limit Theorem for Sample Proportions = 340
      • 7.4 Estimating the Population Proportion with Confidence Intervals = 347
      • 7.5 Comparing Two Population Proportions with Confidence = 354
      • Exploring Statistics-Simple Random Sampling Prevents Bias = 361
      • Chapter 8. Hypothesis Testing for Population Proportions = 378
      • Case Study-Dodging the Question = 379
      • 8.1 The Essential Ingredients of Hypothesis Testing = 380
      • 8.2 Hypothesis Testing in Four Steps = 387
      • 8.3 Hypothesis Tests in Detail = 396
      • 8.4 Comparing Proportions from Two Populations = 403
      • Exploring Statistics-Identifying Flavors of Gum through Smell = 411
      • Chapter 9. Inferring Population Means = 428
      • Case Study-Epilepsy Drugs and Children = 429
      • 9.1 Sample Means of Random Samples = 430
      • 9.2 The Central Limit Theorem for Sample Means = 434
      • 9.3 Answering Questions about the Mean of a Population = 441
      • 9.4 Hypothesis Testing for Means = 451
      • 9.5 Comparing Two Population Means = 457
      • 9.6 Overview of Analyzing Means = 472
      • Exploring Statistics-Pulse Rates = 476
      • Chapter 10. Analyzing Categorical Variables and Interpreting Research = 500
      • Case Study-Popping Better Popcorn = 501
      • 10.1 The Basic Ingredients for Testing with Categorical Variables = 502
      • 10.2 Chi-Square Tests for Associations between Categorical Variables = 509
      • 10.3 Reading Research Papers = 518
      • Exploring Statistics-Skittles = 527
      • Appendix A. Tables = 543
      • Appendix B. Check Your Tech Answers = 551
      • Appendix C. Answers to Odd-Numbered Exercises = 553
      • Appendix D. Credits = 575
      • Index = 577
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