本书为“社会学经典教材影印丛书”中的一本,该书篇幅适中,内容安排层次分明。作者以决策树形式归纳的统计方法和统计步骤,有助于读者对统计知识的梳理和掌握。此外,本书附有学生版SPSS统计软件和若干数据资料,可供读者结合所学,进行相应的操作练习,以便在学习统计原理的同时熟悉统计软件,在运用统计软件的过程中加深对统计知识的理解和认识。它不仅适用于社会科学专业的统计课程,也可用作其他读者学习统计的参考书。本书为全英文。
本书篇幅适中,内容安排层次分明。作者以决策树形式归纳的统计方法和统计步骤,有助于读者对统计知识的梳理和掌握。此外,本书附有学生版SPSS统计软件和若干数据资料,可供读者结合所学,进行相应的操作练习,以便在学习统计原理的同时熟悉统计软件,在运用统计软件的过程中加深对统计知识的理解和认识。
Preface i
1 The Statistical Imagination 1
2 Statistical Analysis: Error Management and Control 32
3 Charts and Graphs: A Picture Says a Thousand Words 72
4 Measuring Averages 96
5 Measuring Dispersion or Spread in a Distribution of Scores 122
6 Probability Theory and the Normal Probability Distribution 154
7 Using Probability Theory to Produce Sampling Distributions 189
8 Parameter Estimation Using Confidence Intervals 221
9 Hypothesis Testing 249
10 Single-Sample Hypothesis Tests: Establishing the Representativeness of Samples 288
11 Bivariate Relationships: t-Test for Comparing the Means of Two Groups 334
12 Analysis of Variance: Differences among Means of Three or More Groups 376
13 Nominal Variables: The Chi-Square and Binomial Distributions 418
14 Correlation and Regression: Part 1: Concepts and Calculations 460
15 Correlation and Regression: Part 2: Hypothesis Testing and Aspects of a Relationship 492
16 Rank-Order Correlation between Two Ordinal Variables 524
Appendix A Review of Basic Mathematical Operations 562
Appendix B Statistical Probability Tables 571
Appendix C Answers to Selected Chapter Exercises 580
References 591
Index 595