Description

Book Synopsis

Introduction to Social Statistics is a basic statistics text with a focus on the use of models for thinking through statistical problems, an accessible and consistent structure with ongoing examples across chapters, and an emphasis on the tools most commonly used in contemporary research.
  • Lively introductory textbook that uses three strategies to help students master statistics: use of models throughout; repetition with variation to underpin pedagogy; and emphasis on the tools most commonly used in contemporary research
  • Demonstrateshow more than one statistical method can be used to approach a research question
  • Enhanced learning features include a walk-through' of statistical concepts, applications, features, advanced topics boxes, and a What Have We Learned' section at the end of each chapter
  • Supported by a website containing instructor materials including chapter-by-chapter PowerPoint slides, answers to exercises, and a

    Table of Contents

    List of Tables vii

    List of Figures xvii

    Preface: A Strategy for Approaching Quantitative Analysis xxv

    1 An Introduction to Quantitative Analysis 1

    2 Some Basic Concepts 33

    3 Displaying Data One Variable at a Time 65

    4 Describing Data 115

    5 Plotting Relationships and Conditional Distributions 155

    6 Causation and Models of Causal Effects 182

    7 Probability 218

    8 Sampling Distributions and Inference 255

    9 Using Sampling Distributions: Confidence Intervals 295

    10 Using Sampling Distributions: Hypothesis Tests 319

    11 The Subtle Logic of Analysis of Variance 363

    12 Goodness of Fit and Models of Frequency Tables 396

    13 Bivariate Regression and Correlation 435

    14 Basics of Multiple Regression 476

    Appendix A: Summary of Variables Used in Examples 513

    Appendix B: Mathematics Review 520

    Appendix C: Statistical Tables 526

    Glossary of Key Terms 534

    Notes 546

    Index 559

Introduction to Social Statistics

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    A Hardback by Linda Kalof, Linda Kalof, Amy Dan

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      Book details

      Publisher John Wiley & Sons
      Published 13 January 2009
      ISBN-13 9781405169028
      978-1405169028
      ISBN-10 1405169028
      Also in:
      Mathematics Probability and statistics Social research and statistics

      Description

      Book Synopsis

      Introduction to Social Statistics is a basic statistics text with a focus on the use of models for thinking through statistical problems, an accessible and consistent structure with ongoing examples across chapters, and an emphasis on the tools most commonly used in contemporary research.
      • Lively introductory textbook that uses three strategies to help students master statistics: use of models throughout; repetition with variation to underpin pedagogy; and emphasis on the tools most commonly used in contemporary research
      • Demonstrateshow more than one statistical method can be used to approach a research question
      • Enhanced learning features include a walk-through' of statistical concepts, applications, features, advanced topics boxes, and a What Have We Learned' section at the end of each chapter
      • Supported by a website containing instructor materials including chapter-by-chapter PowerPoint slides, answers to exercises, and a

        Table of Contents

        List of Tables vii

        List of Figures xvii

        Preface: A Strategy for Approaching Quantitative Analysis xxv

        1 An Introduction to Quantitative Analysis 1

        2 Some Basic Concepts 33

        3 Displaying Data One Variable at a Time 65

        4 Describing Data 115

        5 Plotting Relationships and Conditional Distributions 155

        6 Causation and Models of Causal Effects 182

        7 Probability 218

        8 Sampling Distributions and Inference 255

        9 Using Sampling Distributions: Confidence Intervals 295

        10 Using Sampling Distributions: Hypothesis Tests 319

        11 The Subtle Logic of Analysis of Variance 363

        12 Goodness of Fit and Models of Frequency Tables 396

        13 Bivariate Regression and Correlation 435

        14 Basics of Multiple Regression 476

        Appendix A: Summary of Variables Used in Examples 513

        Appendix B: Mathematics Review 520

        Appendix C: Statistical Tables 526

        Glossary of Key Terms 534

        Notes 546

        Index 559

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